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Journal articles on the topic 'Moisture precipitation on a streamlined surface'

Author: Grafiati

Published: 30 May 2022

Last updated: 31 July 2025

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1

Vargas, Franci Flores, and José Augusto Paixão Veiga. "PADRÕES ATMOSFÉRICOS E OCEÂNICOS ASSOCIADOS A EVENTOS EXTREMOS NA BACIA AMAZÔNICA: UMA ANÁLISE DE COMPOSIÇÃO BASEADA NOS EPSÓDIOS SECOS DE 1982/83, 2004/05 E 2009/10." Ciência e Natura 39, no. 2 (2017): 423. http://dx.doi.org/10.5902/2179460x22687.

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This study aimed to determine the atmospheric and oceanic patterns related to changes in precipitation over the Amazon basin during the episodes of extreme drought occurred in the years of 1982/83, 2004/2005 and 2009/10. Data from the zonal and meridional components of the wind vector, wind speed, omega, specific humidity, precipitation and sea surface temperature was used. The data was obtained from the reanalysis-2 NCPE/NCAR (except for the variable precipitation which was obtained from the CMAP). The anomalous composition method was used to determine the atmospheric and ocean fields that we

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2

Daniels, Emma E., Ronald W. A. Hutjes, Geert Lenderink, Reinder J. Ronda, and Albert A. M. Holtslag. "Land Surface Feedbacks on Spring Precipitation in the Netherlands." Journal of Hydrometeorology 16, no. 1 (2015): 232–43. http://dx.doi.org/10.1175/jhm-d-14-0072.1.

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Abstract In this paper, the Weather Research and Forecasting (WRF) Model is used to investigate the sensitivity of precipitation to soil moisture and urban areas in the Netherlands. The average output of a 4-day event during 10–13 May 1999 for which the individual days had similar synoptical forcing is analyzed. Four simulations are conducted to test the impact of soil moisture changes on precipitation. A positive soil moisture–precipitation feedback is found, that is, wet (dry) soils increase (decrease) the amount of precipitation. Three additional experiments are executed, two in which urban

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3

Luo, Yan, Ernesto H. Berbery, Kenneth E. Mitchell, and Alan K. Betts. "Relationships between Land Surface and Near-Surface Atmospheric Variables in the NCEP North American Regional Reanalysis." Journal of Hydrometeorology 8, no. 6 (2007): 1184–203. http://dx.doi.org/10.1175/2007jhm844.1.

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Abstract This study examines the recently released National Centers for Environmental Prediction (NCEP) North American Regional Reanalysis (NARR) products over diverse climate regimes to determine the regional relationships between soil moisture and near-surface atmospheric variables. NARR assimilates observed precipitation, as well as near-surface observations of humidity and wind, while seeking a balance of the surface water and energy budgets with a modern land surface model. The results of this study indicate that for most basins (of approximate size of 0.5–1.0 × 106 km2) the NARR surface

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4

Sugimoto, Shiori, and Hiroshi G. Takahashi. "Seasonal Differences in Precipitation Sensitivity to Soil Moisture in Bangladesh and Surrounding Regions." Journal of Climate 30, no. 3 (2017): 921–38. http://dx.doi.org/10.1175/jcli-d-15-0800.1.

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Abstract Precipitation sensitivity to soil moisture and its seasonal and diurnal changes are investigated in Bangladesh and surrounding regions using a regional climate model with a 5-km grid spacing. In the control experiment, soil moisture is calculated by a land surface scheme, and simulated accuracy of seasonal and diurnal variations in precipitation intensity and frequency is capable of assessing the soil moisture impact on precipitation. In sensitivity experiments with wetter land surfaces, daytime precipitation intensity decreases over the southern plains for both the premonsoon and mat

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5

Zheng, Yunxi, and Jichao Sun. "Monitoring Ground Deformation in Beijing and Analysis of Influencing Factors." International Journal of Ground Sediment & Water 21 (January 12, 2025): 1557–78. https://doi.org/10.5281/zenodo.14025334.

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<strong>Abstract</strong>: Currently, the land subsidence development in Beijing is still at a relatively high rate. It is widely believed to be caused by extensive groundwater extraction, leading to a lowering of the groundwater table and consequent land subsidence. However, precipitation and surface soil moisture are crucial components of the hydrological cycle, replenishing groundwater. Previous research has paid limited attention to the analysis of the impact of precipitation and surface soil moisture on land subsidence. Therefore, this study uses 17 scenes of Sentinel-1A data to obtain su

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6

Cook, Benjamin I., Gordon B. Bonan, and Samuel Levis. "Soil Moisture Feedbacks to Precipitation in Southern Africa." Journal of Climate 19, no. 17 (2006): 4198–206. http://dx.doi.org/10.1175/jcli3856.1.

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Abstract The effects of increased soil moisture on wet season (October–March) precipitation in southern Africa are investigated using the Community Climate System Model version 3 (CCSM3). In the CTRL case, soil moisture is allowed to interact dynamically with the atmosphere. In the MOIST case, soil moisture is set so that evapotranspiration is not limited by the supply of water. The MOIST scenario actually results in decreased precipitation over the region of perturbed soil moisture, compared to CTRL. The increased soil moisture alters the surface energy balance, resulting in a shift from sens

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7

Perrone, J., and C. A. Madramootoo. "Improved curve number selection for runoff prediction." Canadian Journal of Civil Engineering 25, no. 4 (1998): 728–34. http://dx.doi.org/10.1139/l98-007.

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The three antecedent moisture conditions used in the SCS (Soil Conservation Service) curve number method of surface runoff volume prediction have been shown to be inapplicable in humid regions such as the Ottawa - St. Lawrence Lowlands. The antecedent precipitation index is an alternative indicator of soil moisture. Using a hydrologic database, calibration curves were developed to correlate antecedent precipitation index to the SCS curve number. Curve numbers were then input to the AGNPS hydrologic model. When compared to the three antecedent moisture conditions in the SCS curve number method,

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8

Zhan, W., M. Pan, N. Wanders, and E. F. Wood. "Correction of real-time satellite precipitation with satellite soil moisture observations." Hydrology and Earth System Sciences Discussions 12, no. 6 (2015): 5749–87. http://dx.doi.org/10.5194/hessd-12-5749-2015.

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Abstract. Rainfall and soil moisture are two key elements in modeling the interactions between the land surface and the atmosphere. Accurate and high-resolution real-time precipitation is crucial for monitoring and predicting the on-set of floods, and allows for alert and warning before the impact becomes a disaster. Assimilation of remote sensing data into a flood-forecasting model has the potential to improve monitoring accuracy. Space-borne microwave observations are especially interesting because of their sensitivity to surface soil moisture and its change. In this study, we assimilate sat

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9

Strehz, Alexander, Joost Brombacher, Jelle Degen, and Thomas Einfalt. "Feasibility of Downscaling Satellite-Based Precipitation Estimates Using Soil Moisture Derived from Land Surface Temperature." Atmosphere 14, no. 3 (2023): 435. http://dx.doi.org/10.3390/atmos14030435.

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For many areas, satellite-based precipitation products or reanalysis model data represent the only available precipitation information. Unfortunately, the resolution of these datasets is generally too coarse for many applications. A very promising downscaling approach is to use soil moisture due to its clear physical connection to precipitation. We investigate the feasibility of using soil moisture derived from land surface temperature in this context. These data are more widely available in the required resolution compared to other soil moisture data. Rain gauge-adjusted radar data from Namoi

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10

Mei, Rui, and Guiling Wang. "Impact of Sea Surface Temperature and Soil Moisture on Summer Precipitation in the United States Based on Observational Data." Journal of Hydrometeorology 12, no. 5 (2011): 1086–99. http://dx.doi.org/10.1175/2011jhm1312.1.

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Abstract This study examines the impact of sea surface temperature (SST) and soil moisture on summer precipitation over two regions of the United States (the upper Mississippi River basin and the Great Plains) based on data from observation and observation-forced model simulations (in the case of soil moisture). Results from SST–precipitation correlation analysis show that spatially averaged SST of identified oceanic areas are better predictors than derived SST patterns from the EOF analysis and that both predictors are strongly associated with the Pacific Ocean. Results from conditioned soil

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11

Arora, Vivek K., and George J. Boer. "The Temporal Variability of Soil Moisture and Surface Hydrological Quantities in a Climate Model." Journal of Climate 19, no. 22 (2006): 5875–88. http://dx.doi.org/10.1175/jcli3926.1.

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Abstract The variance budget of land surface hydrological quantities is analyzed in the second Atmospheric Model Intercomparison Project (AMIP2) simulation made with the Canadian Centre for Climate Modelling and Analysis (CCCma) third-generation general circulation model (AGCM3). The land surface parameterization in this model is the comparatively sophisticated Canadian Land Surface Scheme (CLASS). Second-order statistics, namely variances and covariances, are evaluated, and simulated variances are compared with observationally based estimates. The soil moisture variance is related to second-o

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Berg, Alexis, Benjamin R. Lintner, Kirsten Findell, et al. "Interannual Coupling between Summertime Surface Temperature and Precipitation over Land: Processes and Implications for Climate Change*." Journal of Climate 28, no. 3 (2015): 1308–28. http://dx.doi.org/10.1175/jcli-d-14-00324.1.

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Abstract Widespread negative correlations between summertime-mean temperatures and precipitation over land regions are a well-known feature of terrestrial climate. This behavior has generally been interpreted in the context of soil moisture–atmosphere coupling, with soil moisture deficits associated with reduced rainfall leading to enhanced surface sensible heating and higher surface temperature. The present study revisits the genesis of these negative temperature–precipitation correlations using simulations from the Global Land–Atmosphere Coupling Experiment–phase 5 of the Coupled Model Inter

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13

Li, Laifang, Raymond W. Schmitt, Caroline C. Ummenhofer, and Kristopher B. Karnauskas. "Implications of North Atlantic Sea Surface Salinity for Summer Precipitation over the U.S. Midwest: Mechanisms and Predictive Value." Journal of Climate 29, no. 9 (2016): 3143–59. http://dx.doi.org/10.1175/jcli-d-15-0520.1.

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Abstract Moisture originating from the subtropical North Atlantic feeds precipitation throughout the Western Hemisphere. This ocean-to-land moisture transport leaves its imprint on sea surface salinity (SSS), enabling SSS over the subtropical oceans to be used as an indicator of terrestrial precipitation. This study demonstrates that springtime SSS over the northwestern portion of the subtropical North Atlantic significantly correlates with summertime precipitation over the U.S. Midwest. The linkage between springtime SSS and the Midwest summer precipitation is established through ocean-to-lan

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14

Yang, Zhao, and Francina Dominguez. "Investigating Land Surface Effects on the Moisture Transport over South America with a Moisture Tagging Model." Journal of Climate 32, no. 19 (2019): 6627–44. http://dx.doi.org/10.1175/jcli-d-18-0700.1.

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Abstract Land–atmosphere interactions are a critical component of precipitation processes within the Amazon basin and La Plata River basin (LPRB) in South America. Two of the possible pathways through which the land surface can affect precipitation are 1) by changing the amount of moisture available for precipitation (moisture recycling) and 2) by changing the atmospheric thermal structure and consequently affecting circulation patterns. In this study, the Weather Research and Forecasting (WRF) Model with embedded water vapor tracers (WVT) is used to disentangle these relative contributions, w

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15

Guan, Huade, John L. Wilson, and Oleg Makhnin. "Geostatistical Mapping of Mountain Precipitation Incorporating Autosearched Effects of Terrain and Climatic Characteristics." Journal of Hydrometeorology 6, no. 6 (2005): 1018–31. http://dx.doi.org/10.1175/jhm448.1.

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Abstract Hydrologic and ecologic studies in mountainous terrain are sensitive to the temporal and spatial distribution of precipitation. In this study a geostatistical model, Auto-Searched Orographic and Atmospheric Effects Detrended Kriging (ASOADeK), is introduced to map mountain precipitation using only precipitation gauge data. The ASOADeK model considers both precipitation spatial covariance and orographic and atmospheric effects in estimating precipitation distribution. The model employs gauge data and a multivariate linear regression approach to autosearch regional and local climatic se

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16

Jungandreas, Leonore, Cathy Hohenegger, and Martin Claussen. "How does the explicit treatment of convection alter the precipitation–soil hydrology interaction in the mid-Holocene African humid period?" Climate of the Past 19, no. 3 (2023): 637–64. http://dx.doi.org/10.5194/cp-19-637-2023.

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Abstract. Global climate models with coarse horizontal resolution are largely unable to reproduce the monsoonal precipitation pattern over North Africa during the mid-Holocene. Here we present the first regional, storm-resolving simulations with an idealized but reasonable mid-Holocene vegetation cover. In these simulations, the West African monsoon expands farther north by about 4–5∘, and the precipitation gradient between the Guinea coast and the Sahara decreases compared to simulations with a barren Sahara as it is today. The northward shift of monsoonal precipitation is caused by land surf

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17

Myoung, Boksoon, and John W. Nielsen-Gammon. "The Convective Instability Pathway to Warm Season Drought in Texas. Part I: The Role of Convective Inhibition and Its Modulation by Soil Moisture." Journal of Climate 23, no. 17 (2010): 4461–73. http://dx.doi.org/10.1175/2010jcli2946.1.

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Abstract This research is designed to investigate how convective instability influences monthly mean precipitation in Texas in the summertime and to examine the modulation of convective instability and precipitation by local and regional forcings. Since drought results from the accumulated effects of deficient precipitation over time, this study is expected to shed light on the physical and dynamical mechanisms of the initiation and maintenance of serious droughts as well. The focus in Part I of this two-part study is on identification of the controlling convective parameters and, in turn, the

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18

Liu, Qing, Rolf H. Reichle, Rajat Bindlish, et al. "The Contributions of Precipitation and Soil Moisture Observations to the Skill of Soil Moisture Estimates in a Land Data Assimilation System." Journal of Hydrometeorology 12, no. 5 (2011): 750–65. http://dx.doi.org/10.1175/jhm-d-10-05000.1.

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Abstract The contributions of precipitation and soil moisture observations to soil moisture skill in a land data assimilation system are assessed. Relative to baseline estimates from the Modern Era Retrospective-analysis for Research and Applications (MERRA), the study investigates soil moisture skill derived from (i) model forcing corrections based on large-scale, gauge- and satellite-based precipitation observations and (ii) assimilation of surface soil moisture retrievals from the Advanced Microwave Scanning Radiometer for Earth Observing System (AMSR-E). Soil moisture skill (defined as the

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19

Norris, Jesse, Geraint Vaughan, and David M. Schultz. "Precipitation Banding in Idealized Baroclinic Waves." Monthly Weather Review 142, no. 9 (2014): 3081–99. http://dx.doi.org/10.1175/mwr-d-13-00343.1.

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Moist idealized baroclinic-wave simulations show the development of precipitation bands from a zonally uniform initial midlatitude jet. For a frictionless lower boundary, and with no latent-heat release or surface heat and moisture fluxes, warm advection is strong and a bent-back warm front forms. Although a narrow vertical-velocity maximum forms within the area of synoptic-scale ascent near the triple point, only a wide warm-frontal band forms. As surface roughness length increases between simulations to that of an ocean then a land surface, warm advection is reduced and the cold front become

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20

Qian, Yun, Huiping Yan, Larry K. Berg, et al. "Assessing Impacts of PBL and Surface Layer Schemes in Simulating the Surface–Atmosphere Interactions and Precipitation over the Tropical Ocean Using Observations from AMIE/DYNAMO." Journal of Climate 29, no. 22 (2016): 8191–210. http://dx.doi.org/10.1175/jcli-d-16-0040.1.

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Abstract Accuracy of turbulence parameterization in representing planetary boundary layer (PBL) processes and surface–atmosphere interactions in climate models is critical for predicting the initiation and development of clouds. This study 1) evaluates WRF Model–simulated spatial patterns and vertical profiles of atmospheric variables at various spatial resolutions and with different PBL, surface layer, and shallow convection schemes against measurements; 2) identifies model biases by examining the moisture tendency terms contributed by PBL and convection processes through nudging experiments;

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21

Lin, Liao-Fan, Ardeshir M. Ebtehaj, Alejandro N. Flores, Satish Bastola, and Rafael L. Bras. "Combined Assimilation of Satellite Precipitation and Soil Moisture: A Case Study Using TRMM and SMOS Data." Monthly Weather Review 145, no. 12 (2017): 4997–5014. http://dx.doi.org/10.1175/mwr-d-17-0125.1.

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This paper presents a framework that enables simultaneous assimilation of satellite precipitation and soil moisture observations into the coupled Weather Research and Forecasting (WRF) and Noah land surface model through variational approaches. The authors tested the framework by assimilating precipitation data from the Tropical Rainfall Measuring Mission (TRMM) and soil moisture data from the Soil Moisture Ocean Salinity (SMOS) satellite. The results show that assimilation of both TRMM and SMOS data can effectively improve the forecast skills of precipitation, top 10-cm soil moisture, and 2-m

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Koukoula, Marika, Efthymios I. Nikolopoulos, Jonilda Kushta, Nikolaos S. Bartsotas, George Kallos, and Emmanouil N. Anagnostou. "A Numerical Sensitivity Analysis of Soil Moisture Feedback on Convective Precipitation." Journal of Hydrometeorology 20, no. 1 (2019): 23–44. http://dx.doi.org/10.1175/jhm-d-18-0134.1.

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Abstract Of the boundary conditions that affect the simulation of convective precipitation, soil moisture is one of the most important. In this study, we explore the impact of the soil moisture on convective precipitation, and factors affecting it, through an extensive numerical experiment based on four convective precipitation events that caused moderate to severe flooding in the Gard region of southern France. High-spatial-resolution (1 km) weather simulations were performed using the integrated atmospheric model Regional Atmospheric Modeling System/Integrated Community Limited Area Modeling

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Zhou, Yaping, Di Wu, William K.-M. Lau, and Wei-Kuo Tao. "Scale Dependence of Land–Atmosphere Interactions in Wet and Dry Regions as Simulated with NU-WRF over the Southwestern and South-Central United States." Journal of Hydrometeorology 17, no. 8 (2016): 2121–36. http://dx.doi.org/10.1175/jhm-d-16-0024.1.

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Abstract Large-scale forcing and land–atmosphere interactions on precipitation are investigated with NASA-Unified WRF (NU-WRF) simulations during fast transitions of ENSO phases from spring to early summer of 2010 and 2011. The model is found to capture major precipitation episodes in the 3-month simulations without resorting to nudging. However, the mean intensity of the simulated precipitation is underestimated by 46% and 57% compared with the observations in dry and wet regions in the southwestern and south-central United States, respectively. Sensitivity studies show that large-scale atmos

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Rosenthal, Lindsey, and Stephanie E. Zick. "Evaluating the Role of Land Surface Moisture in Generating Asymmetrical Precipitation during the Landfall of Hurricane Florence (2018)." Atmosphere 14, no. 5 (2023): 814. http://dx.doi.org/10.3390/atmos14050814.

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This study focuses on the role of land surface moisture in generating asymmetrical precipitation surrounding a nearly stationary Hurricane Florence (2018) during landfall. Previous idealized modeling studies have suggested that atmospheric stability varies surrounding a tropical cyclone (TC) during landfall, with the atmosphere destabilizing off-shore and stabilizing on-shore. However, this finding has not been studied using a real modeling framework. Here, we produce high-resolution numerical simulations to examine the variations in precipitation and atmospheric stability surrounding Hurrican

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Collini, Estela A., Ernesto H. Berbery, Vicente R. Barros, and Matthew E. Pyle. "How Does Soil Moisture Influence the Early Stages of the South American Monsoon?" Journal of Climate 21, no. 2 (2008): 195–213. http://dx.doi.org/10.1175/2007jcli1846.1.

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Abstract This article discusses the feedbacks between soil moisture and precipitation during the early stages of the South American monsoon. The system achieves maximum precipitation over the southern Amazon basin and the Brazilian highlands during the austral summer. Monsoon changes are associated with the large-scale dynamics, but during its early stages, when the surface is not sufficiently wet, soil moisture anomalies may also modulate the development of precipitation. To investigate this, sensitivity experiments to initial soil moisture conditions were performed using month-long simulatio

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Zhan, W., M. Pan, N. Wanders, and E. F. Wood. "Correction of real-time satellite precipitation with satellite soil moisture observations." Hydrology and Earth System Sciences 19, no. 10 (2015): 4275–91. http://dx.doi.org/10.5194/hess-19-4275-2015.

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Abstract. Rainfall and soil moisture are two key elements in modeling the interactions between the land surface and the atmosphere. Accurate and high-resolution real-time precipitation is crucial for monitoring and predicting the onset of floods, and allows for alert and warning before the impact becomes a disaster. Assimilation of remote sensing data into a flood-forecasting model has the potential to improve monitoring accuracy. Space-borne microwave observations are especially interesting because of their sensitivity to surface soil moisture and its change. In this study, we assimilate sate

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27

Kumar, Pramod. "Extreme droughts and corresponding Summer Monsoon: A Case Study of 2009 Indian Drought." MAUSAM 74, no. 1 (2022): 83–104. http://dx.doi.org/10.54302/mausam.v74i1.5329.

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Drought is a sustained result of continuous surface and atmospheric heating and moisture deficit. In general, drought assessment is made based on various indices. However, the drought dynamics and associated surface energetics about the corresponding Indian Summer Monsoon (ISM, i.e., June, July, August and September-JJAS) still needs to be better understood. Prolonged surface heating causes reduction of soil moisture, surface/subsurface runoff and atmospheric moisture. Excess surface heating results from positive surface energy budget, which is computed using the term, surface net solar radiat

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Cheng, Linyin, Martin Hoerling, Amir AghaKouchak, Ben Livneh, Xiao-Wei Quan, and Jon Eischeid. "How Has Human-Induced Climate Change Affected California Drought Risk?" Journal of Climate 29, no. 1 (2015): 111–20. http://dx.doi.org/10.1175/jcli-d-15-0260.1.

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Abstract The current California drought has cast a heavy burden on statewide agriculture and water resources, further exacerbated by concurrent extreme high temperatures. Furthermore, industrial-era global radiative forcing brings into question the role of long-term climate change with regard to California drought. How has human-induced climate change affected California drought risk? Here, observations and model experimentation are applied to characterize this drought employing metrics that synthesize drought duration, cumulative precipitation deficit, and soil moisture depletion. The model s

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Zhang, Huqiang. "Analyzing the Potential Impacts of Soil Moisture on the Observed and Model-Simulated Australian Surface Temperature Variations." Journal of Climate 17, no. 21 (2004): 4190–212. http://dx.doi.org/10.1175/jcli3141.1.

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Abstract Based on observational and modeling analyses, this study aims to assess the potential influence of land surface conditions (soil moisture, in particular) on the Australian surface temperature variations. At first, a simple linear regression method is used to largely remove the ENSO influence from 50-yr observational surface temperature and precipitation datasets. Then, lag and partial correlations of the residuals are analyzed. The impacts of precipitation on the forthcoming surface temperature variations are largely attributed to the soil storage of precipitation water and the slow-v

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Guillod, B. P., B. Orlowsky, D. Miralles, et al. "Land-surface controls on afternoon precipitation diagnosed from observational data: uncertainties and confounding factors." Atmospheric Chemistry and Physics 14, no. 16 (2014): 8343–67. http://dx.doi.org/10.5194/acp-14-8343-2014.

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Abstract. The feedback between soil moisture and precipitation has long been a topic of interest due to its potential for improving weather and seasonal forecasts. The generally proposed mechanism assumes a control of soil moisture on precipitation via the partitioning of the surface turbulent heat fluxes, as assessed via the evaporative fraction (EF), i.e., the ratio of latent heat to the sum of latent and sensible heat, in particular under convective conditions. Our study investigates the poorly understood link between EF and precipitation by relating the before-noon EF to the frequency of a

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Ford, T. W., A. D. Rapp, S. M. Quiring, and J. Blake. "Soil moisture–precipitation coupling: observations from the Oklahoma Mesonet and underlying physical mechanisms." Hydrology and Earth System Sciences 19, no. 8 (2015): 3617–31. http://dx.doi.org/10.5194/hess-19-3617-2015.

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Abstract. Interactions between soil moisture and the atmosphere are driven by the partitioning of sensible and latent heating, through which soil moisture has been connected to atmospheric modifications that could potentially lead to the initiation of convective precipitation. The majority of previous studies linking the land surface to subsequent precipitation have used atmospheric reanalysis or model data sets. In this study, we link in situ observations of soil moisture from more than 100 stations in Oklahoma to subsequent unorganized afternoon convective precipitation. We use hourly next g

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Ford, T. W., A. D. Rapp, S. M. Quiring, and J. Blake. "Soil moisture–precipitation coupling: observations from the Oklahoma Mesonet and underlying physical mechanisms." Hydrology and Earth System Sciences Discussions 12, no. 3 (2015): 3205–43. http://dx.doi.org/10.5194/hessd-12-3205-2015.

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Abstract. Interactions between soil moisture and the atmosphere are driven by the partitioning of sensible and latent heating, through which, soil moisture has been connected to atmospheric modification that could potentially lead to initiation of convective precipitation. The majority of previous studies linking the land surface to subsequent precipitation have used atmospheric reanalysis or model datasets. In this study, we link in situ observations of soil moisture from more than 100 stations in Oklahoma to subsequent unorganized afternoon convective precipitation. We use hourly, high resol

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Zhang, Renhe, and Zhiyan Zuo. "Impact of Spring Soil Moisture on Surface Energy Balance and Summer Monsoon Circulation over East Asia and Precipitation in East China." Journal of Climate 24, no. 13 (2011): 3309–22. http://dx.doi.org/10.1175/2011jcli4084.1.

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Abstract Numerous studies have been conducted on the impact of soil moisture on the climate, but few studies have attempted to diagnose the linkage between soil moisture and climate variability using observational data. Here, using both observed and reanalysis data, the spring (April–May) soil moisture is found to have a significant impact on the summer (June–August) monsoon circulation over East Asia and precipitation in east China by changing surface thermal conditions. In particular, the spring soil moisture over a vast region from the lower and middle reaches of the Yangtze River valley to

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Ruiz-Barradas, Alfredo, and Sumant Nigam. "Atmosphere–Land Surface Interactions over the Southern Great Plains: Characterization from Pentad Analysis of DOE ARM Field Observations and NARR." Journal of Climate 26, no. 3 (2013): 875–86. http://dx.doi.org/10.1175/jcli-d-11-00380.1.

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Abstract The Department of Energy Atmospheric Radiation Measurement Program (ARM) Southern Great Plains (SGP) site data are analyzed to provide insight into atmosphere–land surface interactions generating summertime precipitation variability. Pentad-averaged (5 days) data are analyzed; the average is long enough to suppress synoptic variability but sufficiently short to resolve atmosphere–land surface interactions. Intercomparison with the precipitation-assimilating North American Regional Reanalysis (NARR) helps with in-depth investigation of the processes. The analysis seeks to ascertain the

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Krakauer, N. Y., B. I. Cook, and M. J. Puma. "Contribution of soil moisture feedback to hydroclimatic variability." Hydrology and Earth System Sciences Discussions 6, no. 6 (2009): 6967–99. http://dx.doi.org/10.5194/hessd-6-6967-2009.

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Abstract. While a variety of model experiments and analyses of observations have explored the impact of soil moisture variation on climate, it is not yet clear how large or detectable soil moisture feedback is across spatial and temporal scales. Here, we study the impact of dynamic versus climatological soil moisture in the GISS GCM ModelE (with prescribed sea-surface temperatures) on the variance and on the spatial and temporal correlation scale of hydrologically relevant climate variables (evaporation, precipitation, temperature, cloud cover) over the land surface. We also confirm that synop

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Krakauer, N. Y., B. I. Cook, and M. J. Puma. "Contribution of soil moisture feedback to hydroclimatic variability." Hydrology and Earth System Sciences 14, no. 3 (2010): 505–20. http://dx.doi.org/10.5194/hess-14-505-2010.

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Abstract. While a variety of model experiments and analyses of observations have explored the impact of soil moisture variation on climate, it is not yet clear how large or detectable soil moisture feedback is across spatial and temporal scales. Here, we study the impact of dynamic versus climatological soil moisture in the GISS GCM ModelE (with prescribed sea-surface temperatures) on the variance and on the spatial and temporal correlation scale of hydrologically relevant climate variables (evaporation, precipitation, temperature, cloud cover) over the land surface. We also confirm that synop

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Kurita, Naoyuki, and Hiroyuki Yamada. "The Role of Local Moisture Recycling Evaluated Using Stable Isotope Data from over the Middle of the Tibetan Plateau during the Monsoon Season." Journal of Hydrometeorology 9, no. 4 (2008): 760–75. http://dx.doi.org/10.1175/2007jhm945.1.

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Abstract Both meteorological data and stable isotope data were used to investigate the role that local moisture recycling plays in maintaining moist land surface conditions over the middle of the Tibetan Plateau during the summer monsoon season. Past studies have shown that precipitation events of the summer monsoon season can be categorized according to synoptic conditions as east-migrating trough types, heat low types, and regional circulation types. Precipitation events during an intensive observation period from 13 to 27 August 2004 were therefore classified into these three types. The con

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Nabizada, Ahmad Farid, Iman Rousta, Marjan Dalvi, et al. "Spatial and Temporal Assessment of Remotely Sensed Land Surface Temperature Variability in Afghanistan during 2000–2021." Climate 10, no. 7 (2022): 111. http://dx.doi.org/10.3390/cli10070111.

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The dynamics of land surface temperature (LST) in Afghanistan in the period 2000–2021 were investigated, and the impact of the factors such as soil moisture, precipitation, and vegetation coverage on LST was assessed. The remotely sensed soil moisture data from Land Data Assimilation System (FLDAS), precipitation data from Climate Hazards Group Infra-Red Precipitation with Station (CHIRPS), and NDVI and LST from Moderate-Resolution Imaging Spectroradiometer (MODIS) were used. The correlations between these data were analyzed using the regression method. The result shows that the LST in Afghani

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Messmer, Martina, Juan José Gómez-Navarro, and Christoph C. Raible. "Sensitivity experiments on the response of Vb cyclones to sea surface temperature and soil moisture changes." Earth System Dynamics 8, no. 3 (2017): 477–93. http://dx.doi.org/10.5194/esd-8-477-2017.

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Abstract. Extratropical cyclones of type Vb, which develop over the western Mediterranean and move northeastward, are major natural hazards that are responsible for heavy precipitation over central Europe. To gain further understanding in the governing processes of these Vb cyclones, the study explores the role of soil moisture and sea surface temperature (SST) and their contribution to the atmospheric moisture content. Thereby, recent Vb events identified in the ERA-Interim reanalysis are dynamically downscaled with the Weather Research and Forecasting (WRF) model. Results indicate that a mea

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Crow, Wade T. "A Novel Method for Quantifying Value in Spaceborne Soil Moisture Retrievals." Journal of Hydrometeorology 8, no. 1 (2007): 56–67. http://dx.doi.org/10.1175/jhm553.1.

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Abstract A novel methodology is introduced for quantifying the added value of remotely sensed soil moisture products for global land surface modeling applications. The approach is based on the assimilation of soil moisture retrievals into a simple surface water balance model driven by satellite-based precipitation products. Filter increments (i.e., discrete additions or subtractions of water suggested by the filter) are then compared to antecedent precipitation errors determined using higher-quality rain gauge observations. A synthetic twin experiment demonstrates that the correlation coeffici

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Engstrom, R., A. Hope, H. Kwon, D. Stow, and D. Zamolodchikov. "Spatial distribution of near surface soil moisture and its relationship to microtopography in the Alaskan Arctic coastal plain." Hydrology Research 36, no. 3 (2005): 219–34. http://dx.doi.org/10.2166/nh.2005.0016.

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The Arctic coastal plain of Alaska is characterized by marked heterogeneity in microtopography and above ground vegetation productivity at a variety of scales. This heterogeneity may be expected to lead to large variations in near surface soil moisture and have a substantial impact on measured and modeled fluxes of carbon and water. In this study, we hypothesized that microtopography was the primary control over the spatial patterns of near surface soil moisture. Near surface soil moisture measurements were collected in the summers of 2000, 2001, 2002 and 2003 in the fetch of an eddy flux towe

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Yang, Song, S.-H. Yoo, R. Yang, K. E. Mitchell, H. van den Dool, and R. W. Higgins. "Response of Seasonal Simulations of a Regional Climate Model to High-Frequency Variability of Soil Moisture during the Summers of 1988 and 1993." Journal of Hydrometeorology 8, no. 4 (2007): 738–57. http://dx.doi.org/10.1175/jhm616.1.

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Abstract This study employs the NCEP Eta Regional Climate Model to investigate the response of the model’s seasonal simulations of summer precipitation to high-frequency variability of soil moisture. Specifically, it focuses on the response of model precipitation and temperature over the U.S. Midwest and Southeast to imposed changes in the diurnal and synoptic variability of soil moisture in 1988 and 1993. High-frequency variability of soil moisture increases (decreases) precipitation in the 1988 drought (1993 flood) year in the central and southern-tier states, except along the Gulf Coast, bu

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Pfahl, S., and H. Sodemann. "What controls deuterium excess in global precipitation?" Climate of the Past 10, no. 2 (2014): 771–81. http://dx.doi.org/10.5194/cp-10-771-2014.

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Abstract. The deuterium excess (d) of precipitation is widely used in the reconstruction of past climatic changes from ice cores. However, its most common interpretation as moisture source temperature cannot directly be inferred from present-day water isotope observations. Here, we use a new empirical relation between d and near-surface relative humidity (RH) together with reanalysis data to globally predict d of surface evaporation from the ocean. The very good quantitative agreement of the predicted hemispherically averaged seasonal cycle with observed d in precipitation indicates that moist

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Pathak, Amey, Subimal Ghosh, and Praveen Kumar. "Precipitation Recycling in the Indian Subcontinent during Summer Monsoon." Journal of Hydrometeorology 15, no. 5 (2014): 2050–66. http://dx.doi.org/10.1175/jhm-d-13-0172.1.

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Abstract The Indian summer monsoon rainfall is dominated by oceanic sources of moisture. However, land surface processes also have a significant role in the generation of precipitation within the Indian subcontinent. Evapotranspiration over a region supplies moisture to the atmosphere, which may lead to precipitation in the same region. This is known as recycled precipitation. The role of evapotranspiration as an additional source of moisture to precipitation has been investigated in earlier studies at continental scales; however, the amount of monsoon precipitation generated from evapotranspi

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Wallace, Brendan, and Justin R. Minder. "The impact of snow loss and soil moisture on convective precipitation over the Rocky Mountains under climate warming." Climate Dynamics 56, no. 9-10 (2021): 2915–39. http://dx.doi.org/10.1007/s00382-020-05622-7.

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AbstractWarm season moist diurnal convection can be particularly sensitive to changes in land surface characteristics such as snow cover and soil moisture. Over regions of mountainous terrain, climate change is expected to reduce snow cover along the low-elevation seasonal snowpack margin. These snow reductions alter surface albedo and soil moisture content, leading to changes in surface fluxes and alterations in mesoscale orographic circulations that act to transport moisture and provide ascent. A set of convection-permitting regional climate simulations centered on the Rocky Mountains of Col

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Lavender, Sally L., Christopher M. Taylor, and Adrian J. Matthews. "Coupled Land–Atmosphere Intraseasonal Variability of the West African Monsoon in a GCM." Journal of Climate 23, no. 21 (2010): 5557–71. http://dx.doi.org/10.1175/2010jcli3419.1.

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Abstract Recent observational studies have suggested a role for soil moisture and land–atmosphere coupling in the 15-day westward-propagating mode of intraseasonal variability in the West African monsoon. This hypothesis is investigated with a set of three atmospheric general circulation model experiments. 1) When soil moisture is fully coupled with the atmospheric model, the 15-day mode of land–atmosphere variability is clearly identified. Precipitation anomalies lead soil moisture anomalies by 1–2 days, similar to the results from satellite observations. 2) To assess whether soil moisture is

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Zheng, Weizhong, Xiwu Zhan, Jicheng Liu, and Michael Ek. "A Preliminary Assessment of the Impact of Assimilating Satellite Soil Moisture Data Products on NCEP Global Forecast System." Advances in Meteorology 2018 (June 10, 2018): 1–12. http://dx.doi.org/10.1155/2018/7363194.

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It is well documented that soil moisture has a strong impact on precipitation forecasts of numerical weather prediction models. Several microwave satellite soil moisture retrieval data products have also been available for applications. However, these observational data products have not been employed in any operational numerical weather or climate prediction models. In this study, a preliminary test of assimilating satellite soil moisture data products from the NOAA-NESDIS Soil Moisture Operational Product System (SMOPS) into the NOAA-NCEP Global Forecast System (GFS) is conducted. Using the

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Koster, Randal D., Rolf H. Reichle, and Sarith P. P. Mahanama. "A Data-Driven Approach for Daily Real-Time Estimates and Forecasts of Near-Surface Soil Moisture." Journal of Hydrometeorology 18, no. 3 (2017): 837–43. http://dx.doi.org/10.1175/jhm-d-16-0285.1.

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Abstract NASA’s Soil Moisture Active Passive (SMAP) mission provides global surface soil moisture retrievals with a revisit time of 2–3 days and a latency of 24 h. Here, to enhance the utility of the SMAP data, an approach is presented for improving real-time soil moisture estimates (nowcasts) and for forecasting soil moisture several days into the future. The approach, which involves using an estimate of loss processes (evaporation and drainage) and precipitation to evolve the most recent SMAP retrieval forward in time, is evaluated against subsequent SMAP retrievals themselves. The nowcast a

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Pfahl, S., and H. Sodemann. "What controls deuterium excess in global precipitation?" Climate of the Past Discussions 9, no. 4 (2013): 4745–70. http://dx.doi.org/10.5194/cpd-9-4745-2013.

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Abstract. The deuterium excess (d) of precipitation is widely used in the reconstruction of past climatic changes from ice cores. However, its most common interpretation as moisture source temperature cannot directly be inferred from present-day water isotope observations. Here, we use a new empirical relation between d and near-surface relative humidity together with reanalysis data to globally predict d of surface evaporation from the ocean. The very good quantitative agreement of the predicted hemispherically averaged seasonal cycle with observed d in precipitation indicates that moisture s

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50

Hottenstein, John D., Guillermo E. Ponce-Campos, Julio Moguel-Yanes, and M. Susan Moran. "Impact of Varying Storm Intensity and Consecutive Dry Days on Grassland Soil Moisture." Journal of Hydrometeorology 16, no. 1 (2015): 106–17. http://dx.doi.org/10.1175/jhm-d-14-0057.1.

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Abstract Intra-annual precipitation patterns are expected to shift toward more intense storms and longer dry periods because of changes in climate within future decades. Using satellite-derived estimates of plant growth combined with in situ measurements of precipitation and soil moisture between 1999 and 2013, this study quantified the relationship between intra-annual precipitation patterns, annual average soil moisture (at 5-cm depth), and plant growth at nine grassland sites across the southern United States. Results showed a fundamental difference in the response to varying precipitation

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