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Journal articles on the topic 'Land surface atmosphere feedback'

Author: Grafiati

Published: 4 June 2021

Last updated: 11 February 2022

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1

Tuinenburg, O. A., R. W. A. Hutjes, C. M. J. Jacobs, and P. Kabat. "Diagnosis of Local Land–Atmosphere Feedbacks in India." Journal of Climate 24, no. 1 (2011): 251–66. http://dx.doi.org/10.1175/2010jcli3779.1.

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Abstract Following the convective triggering potential (CTP)–humidity index (HIlow) framework by Findell and Eltahir, the sensitivity of atmospheric convection to soil moisture conditions is studied for India. Using the same slab model as Findell and Eltahir, atmospheric conditions in which the land surface state affects convective precipitation are determined. For India, CTP–HIlow thresholds for land surface–atmosphere feedbacks are shown to be slightly different than for the United States. Using atmospheric sounding data from 1975 to 2009, the seasonal and spatial variations in feedback stre

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2

Zabel, F., W. Mauser, T. Marke, A. Pfeiffer, G. Zängl, and C. Wastl. "Inter-comparison of two land-surface schemes applied on different scales and their feedbacks while coupled with a regional climate model." Hydrology and Earth System Sciences Discussions 8, no. 4 (2011): 7091–136. http://dx.doi.org/10.5194/hessd-8-7091-2011.

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Abstract. Feedback effects between the land surface and the atmosphere are an important issue in modelling the climate system. Therefore, in order to take land surface heterogeneity adequately into account, a representation of the land surface in sufficient spatial resolution is necessary. In order to analyze the impact of different land surface models on the atmosphere, we analyzed the differences of two physically based land surface models, which evolved from different disciplinary backgrounds, both fully coupled with the regional climate model MM5, providing the atmospheric drivers. While t

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3

Koster, Randal D., Yehui Chang, and Siegfried D. Schubert. "A Mechanism for Land–Atmosphere Feedback Involving Planetary Wave Structures." Journal of Climate 27, no. 24 (2014): 9290–301. http://dx.doi.org/10.1175/jcli-d-14-00315.1.

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Abstract While the ability of land surface conditions to influence the atmosphere has been demonstrated in various modeling and observational studies, the precise mechanisms by which land–atmosphere feedback occurs are still largely unknown: particularly the mechanisms that allow land moisture state in one region to affect atmospheric conditions in another. Such remote impacts are examined here in the context of atmospheric general circulation model (AGCM) simulations, leading to the identification of one potential mechanism: the phase locking and amplification of a planetary wave through the

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4

Dirmeyer, Paul A., Randal D. Koster, and Zhichang Guo. "Do Global Models Properly Represent the Feedback between Land and Atmosphere?" Journal of Hydrometeorology 7, no. 6 (2006): 1177–98. http://dx.doi.org/10.1175/jhm532.1.

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Abstract The Global Energy and Water Cycle Experiment/Climate Variability and Predictability (GEWEX/CLIVAR) Global Land–Atmosphere Coupling Experiment (GLACE) has provided an estimate of the global distribution of land–atmosphere coupling strength during boreal summer based on the results from a dozen weather and climate models. However, there is a great deal of variation among models, attributable to a range of sensitivities in the simulation of both the terrestrial and atmospheric branches of the hydrologic cycle. It remains an open question whether any of the models, or the multimodel estim

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5

Santanello, Joseph A., Mark A. Friedl, and Michael B. Ek. "Convective Planetary Boundary Layer Interactions with the Land Surface at Diurnal Time Scales: Diagnostics and Feedbacks." Journal of Hydrometeorology 8, no. 5 (2007): 1082–97. http://dx.doi.org/10.1175/jhm614.1.

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Abstract The convective planetary boundary layer (PBL) integrates surface fluxes and conditions over regional and diurnal scales. As a result, the structure and evolution of the PBL contains information directly related to land surface states. To examine the nature and magnitude of land–atmosphere coupling and the interactions and feedbacks controlling PBL development, the authors used a large sample of radiosonde observations collected at the southern Atmospheric Research Measurement Program–Great Plains Cloud and Radiation Testbed (ARM-CART) site in association with simulations of mixed-laye

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6

Stap, Lennert B., Bart J. J. M. van den Hurk, Chiel C. van Heerwaarden, and Roel A. J. Neggers. "Modeled Contrast in the Response of the Surface Energy Balance to Heat Waves for Forest and Grassland." Journal of Hydrometeorology 15, no. 3 (2014): 973–89. http://dx.doi.org/10.1175/jhm-d-13-029.1.

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Abstract Observations have shown that differences in surface energy fluxes over grasslands and forests are amplified during heat waves. The role of land–atmosphere feedbacks in this process is still uncertain. In this study, a single-column model (SCM) is used to investigate the difference between forest and grassland in their energy response to heat waves. Three simulations for the period 2005–11 were carried out: a control run using vegetation characteristics for Cabauw (the Netherlands), a run where the vegetation is changed to 100% forest, and a run with 100% short grass as vegetation. A s

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7

Chen, Haishan, Bo Yu, Botao Zhou, Wanxin Zhang, and Jie Zhang. "Role of Local Atmospheric Forcing and Land–Atmosphere Interaction in Recent Land Surface Warming in the Midlatitudes over East Asia." Journal of Climate 33, no. 6 (2020): 2295–309. http://dx.doi.org/10.1175/jcli-d-18-0856.1.

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AbstractSignificant summer land surface warming has been observed in the middle latitudes over East Asia, especially after the mid-1990s, which has evidently affected the East Asian weather and climate. Using multisource observations and reanalysis data during 1979–2013, this study explores the possible reasons for recent land surface warming over this region by considering atmospheric forcing and regional land–atmosphere interaction related to extratropical cyclones (ECs). Results show that there is a close relationship between land surface warming and weakened ECs over East Asia. Recent land

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8

Laguë, Marysa M., Gordon B. Bonan, and Abigail L. S. Swann. "Separating the Impact of Individual Land Surface Properties on the Terrestrial Surface Energy Budget in both the Coupled and Uncoupled Land–Atmosphere System." Journal of Climate 32, no. 18 (2019): 5725–44. http://dx.doi.org/10.1175/jcli-d-18-0812.1.

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Abstract Changes in the land surface can drive large responses in the atmosphere on local, regional, and global scales. Surface properties control the partitioning of energy within the surface energy budget to fluxes of shortwave and longwave radiation, sensible and latent heat, and ground heat storage. Changes in surface energy fluxes can impact the atmosphere across scales through changes in temperature, cloud cover, and large-scale atmospheric circulation. We test the sensitivity of the atmosphere to global changes in three land surface properties: albedo, evaporative resistance, and surfac

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9

Levine, Paul A., James T. Randerson, Sean C. Swenson, and David M. Lawrence. "Evaluating the strength of the land–atmosphere moisture feedback in Earth system models using satellite observations." Hydrology and Earth System Sciences 20, no. 12 (2016): 4837–56. http://dx.doi.org/10.5194/hess-20-4837-2016.

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Abstract. The relationship between terrestrial water storage (TWS) and atmospheric processes has important implications for predictability of climatic extremes and projection of future climate change. In places where moisture availability limits evapotranspiration (ET), variability in TWS has the potential to influence surface energy fluxes and atmospheric conditions. Where atmospheric conditions, in turn, influence moisture availability, a full feedback loop exists. Here we developed a novel approach for measuring the strength of both components of this feedback loop, i.e., the forcing of the

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10

Williams, John L., and Reed M. Maxwell. "Propagating Subsurface Uncertainty to the Atmosphere Using Fully Coupled Stochastic Simulations." Journal of Hydrometeorology 12, no. 4 (2011): 690–701. http://dx.doi.org/10.1175/2011jhm1363.1.

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Abstract Feedbacks between the land surface and the atmosphere, manifested as mass and energy fluxes, are strongly correlated with soil moisture, making soil moisture an important factor in land–atmosphere interactions. It is shown that a reduction of the uncertainty in subsurface properties such as hydraulic conductivity (K) propagates into the atmosphere, resulting in a reduction in uncertainty in land–atmosphere feedbacks that yields more accurate atmospheric predictions. Using the fully coupled groundwater-to-atmosphere model ParFlow-WRF, which couples the hydrologic model ParFlow with the

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11

Dirmeyer, Paul A., C. Adam Schlosser, and Kaye L. Brubaker. "Precipitation, Recycling, and Land Memory: An Integrated Analysis." Journal of Hydrometeorology 10, no. 1 (2009): 278–88. http://dx.doi.org/10.1175/2008jhm1016.1.

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Abstract A synthesis of several approaches to quantifying land–atmosphere interactions is presented. These approaches use data from observations or atmospheric reanalyses applied to atmospheric tracer models and stand-alone land surface schemes. None of these approaches relies on the results of general circulation model simulations. A high degree of correlation is found among these independent approaches, and constructed here is a composite assessment of global land–atmosphere feedback strength as a function of season. The composite combines the characteristics of persistence of soil moisture

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12

Dirmeyer, Paul A., Benjamin A. Cash, James L. Kinter, et al. "Evidence for Enhanced Land–Atmosphere Feedback in a Warming Climate." Journal of Hydrometeorology 13, no. 3 (2012): 981–95. http://dx.doi.org/10.1175/jhm-d-11-0104.1.

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Abstract Global simulations have been conducted with the European Centre for Medium-Range Weather Forecasts operational model run at T1279 resolution for multiple decades representing climate from the late twentieth and late twenty-first centuries. Changes in key components of the water cycle are examined, focusing on variations at short time scales. Metrics of coupling and feedbacks between soil moisture and surface fluxes and between surface fluxes and properties of the planetary boundary layer (PBL) are inspected. Features of precipitation and other water cycle trends from coupled climate m

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13

Wulfmeyer, Volker, David D. Turner, B. Baker, et al. "A New Research Approach for Observing and Characterizing Land–Atmosphere Feedback." Bulletin of the American Meteorological Society 99, no. 8 (2018): 1639–67. http://dx.doi.org/10.1175/bams-d-17-0009.1.

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AbstractForecast errors with respect to wind, temperature, moisture, clouds, and precipitation largely correspond to the limited capability of current Earth system models to capture and simulate land–atmosphere feedback. To facilitate its realistic simulation in next-generation models, an improved process understanding of the related complex interactions is essential. To this end, accurate 3D observations of key variables in the land–atmosphere (L–A) system with high vertical and temporal resolution from the surface to the free troposphere are indispensable.Recently, we developed a synergy of

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14

Schaefli, B., R. J. van der Ent, R. Woods, and H. H. G. Savenije. "An analytical model for soil-atmosphere feedback." Hydrology and Earth System Sciences Discussions 8, no. 5 (2011): 8315–54. http://dx.doi.org/10.5194/hessd-8-8315-2011.

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Abstract. Soil-atmosphere feedback is a key for understanding the hydrological cycle and the direction of potential system changes. This paper presents an analytical framework to study the interplay between soil and atmospheric moisture, using as input only the boundary conditions at the upstream end of an atmospheric moisture stream line. The underlying Eulerian-Langrangean approach assumes advective moisture transport with average wind speed along the stream line and vertical moisture exchange with the soil compartment of uniform vertical properties. Precipitation, evaporation from intercept

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15

Rydsaa, Johanne H., Frode Stordal, Anders Bryn, and Lena M. Tallaksen. "Effects of shrub and tree cover increase on the near-surface atmosphere in northern Fennoscandia." Biogeosciences 14, no. 18 (2017): 4209–27. http://dx.doi.org/10.5194/bg-14-4209-2017.

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Abstract. Increased shrub and tree cover in high latitudes is a widely observed response to climate change that can lead to positive feedbacks to the regional climate. In this study we evaluate the sensitivity of the near-surface atmosphere to a potential increase in shrub and tree cover in the northern Fennoscandia region. We have applied the Weather Research and Forecasting (WRF) model with the Noah-UA land surface module in evaluating biophysical effects of increased shrub cover on the near-surface atmosphere at a fine resolution (5.4 km × 5.4 km). Perturbation experiments are performed in

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16

Dirmeyer, Paul A., and Mei Zhao. "Flux Replacement as a Method to Diagnose Coupled Land–Atmosphere Model Feedback." Journal of Hydrometeorology 5, no. 6 (2004): 1034–48. http://dx.doi.org/10.1175/jhm-384.1.

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Abstract The potential role of the land surface state in improving predictions of seasonal climate is investigated with a coupled land–atmosphere climate model. Climate simulations for 18 boreal-summer seasons (1982–99) have been conducted with specified observed sea surface temperature (SST). The impact on prediction skill of the initial land surface state (interannually varying versus climatological soil wetness) and the effect of errors in downward surface fluxes (precipitation and longwave/shortwave radiation) over land are investigated with a number of parallel experiments. Flux errors ar

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17

Deng, Yi, Tae-Won Park, and Ming Cai. "Process-Based Decomposition of the Global Surface Temperature Response to El Niño in Boreal Winter." Journal of the Atmospheric Sciences 69, no. 5 (2012): 1706–12. http://dx.doi.org/10.1175/jas-d-12-023.1.

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Abstract This paper reports an attribution analysis that quantifies addible contributions to the observed temperature anomalies from radiative and nonradiative processes in terms of both amplitude and spatial pattern for the two most prominent surface temperature patterns in an El Niño winter. One is the El Niño SST pattern consisting of warming SST anomalies over the eastern equatorial Pacific basin surrounded by cooling SST anomalies in the western and subtropical Pacific, and the other is a tripole surface temperature anomaly characteristic of a positive Pacific–North American (PNA) telecon

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18

Dirmeyer, Paul A. "The Land Surface Contribution to the Potential Predictability of Boreal Summer Season Climate." Journal of Hydrometeorology 6, no. 5 (2005): 618–32. http://dx.doi.org/10.1175/jhm444.1.

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Abstract The role of the land surface in contributing to the potential predictability of the boreal summer climate is investigated with a coupled land–atmosphere climate model. Ensemble simulations for 1982–99 have been conducted with specified observed sea surface temperatures (SSTs). Several treatments of the land surface are investigated: climatological land surface initialization, realistic initialization of soil wetness, and a series of experiments where downward surface fluxes over land are replaced with observed proxies of precipitation, shortwave, and longwave radiation. Without flux r

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19

Humphrey, Vincent, Alexis Berg, Philippe Ciais, et al. "Soil moisture–atmosphere feedback dominates land carbon uptake variability." Nature 592, no. 7852 (2021): 65–69. http://dx.doi.org/10.1038/s41586-021-03325-5.

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AbstractYear-to-year changes in carbon uptake by terrestrial ecosystems have an essential role in determining atmospheric carbon dioxide concentrations1. It remains uncertain to what extent temperature and water availability can explain these variations at the global scale2–5. Here we use factorial climate model simulations6 and show that variability in soil moisture drives 90 per cent of the inter-annual variability in global land carbon uptake, mainly through its impact on photosynthesis. We find that most of this ecosystem response occurs indirectly as soil moisture–atmosphere feedback ampl

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20

Rochetin, Nicolas, Benjamin R. Lintner, Kirsten L. Findell, Adam H. Sobel, and Pierre Gentine. "Radiative–Convective Equilibrium over a Land Surface." Journal of Climate 27, no. 23 (2014): 8611–29. http://dx.doi.org/10.1175/jcli-d-13-00654.1.

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Abstract Radiative–convective equilibrium (RCE) describes an idealized state of the atmosphere in which the vertical temperature profile is determined by a balance between radiative and convective fluxes. While RCE has been applied extensively over oceans, its application over the land surface has been limited. The present study explores the properties of RCE over land using an atmospheric single-column model (SCM) from the Laboratoire de Météorologie Dynamique–Zoom, version 5B (LMDZ5B) general circulation model coupled in temperature and moisture to a land surface model using a simplified buc

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21

HU, ZHENGLIN, and SHAFIQUL ISLAM. "Evaluation of sensitivity of land surface hydrology representations with and without land–atmosphere feedback." Hydrological Processes 11, no. 11 (1997): 1557–72. http://dx.doi.org/10.1002/(sici)1099-1085(199709)11:11<1557::aid-hyp488>3.0.co;2-4.

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22

Dirmeyer, Paul A., Liang Chen, Jiexia Wu, et al. "Verification of Land–Atmosphere Coupling in Forecast Models, Reanalyses, and Land Surface Models Using Flux Site Observations." Journal of Hydrometeorology 19, no. 2 (2018): 375–92. http://dx.doi.org/10.1175/jhm-d-17-0152.1.

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Abstract This study compares four model systems in three configurations (LSM, LSM + GCM, and reanalysis) with global flux tower observations to validate states, surface fluxes, and coupling indices between land and atmosphere. Models clearly underrepresent the feedback of surface fluxes on boundary layer properties (the atmospheric leg of land–atmosphere coupling) and may overrepresent the connection between soil moisture and surface fluxes (the terrestrial leg). Models generally underrepresent spatial and temporal variability relative to observations, which is at least partially an artifact o

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23

Gentine, Pierre, Adam Massmann, Benjamin R. Lintner, et al. "Land–atmosphere interactions in the tropics – a review." Hydrology and Earth System Sciences 23, no. 10 (2019): 4171–97. http://dx.doi.org/10.5194/hess-23-4171-2019.

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Abstract. The continental tropics play a leading role in the terrestrial energy, water, and carbon cycles. Land–atmosphere interactions are integral in the regulation of these fluxes across multiple spatial and temporal scales over tropical continents. We review here some of the important characteristics of tropical continental climates and how land–atmosphere interactions regulate them. Along with a wide range of climates, the tropics manifest a diverse array of land–atmosphere interactions. Broadly speaking, in tropical rainforest climates, light and energy are typically more limiting than p

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24

Williams, Richard G., Anna Katavouta, and Philip Goodwin. "Carbon-Cycle Feedbacks Operating in the Climate System." Current Climate Change Reports 5, no. 4 (2019): 282–95. http://dx.doi.org/10.1007/s40641-019-00144-9.

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AbstractClimate change involves a direct response of the climate system to forcing which is amplified or damped by feedbacks operating in the climate system. Carbon-cycle feedbacks alter the land and ocean carbon inventories and so act to reduce or enhance the increase in atmospheric CO2 from carbon emissions. The prevailing framework for carbon-cycle feedbacks connect changes in land and ocean carbon inventories with a linear sum of dependencies on atmospheric CO2 and surface temperature. Carbon-cycle responses and feedbacks provide competing contributions: the dominant effect is that increas

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25

McColl, Kaighin A., Qing He, Hui Lu, and Dara Entekhabi. "Short-Term and Long-Term Surface Soil Moisture Memory Time Scales Are Spatially Anticorrelated at Global Scales." Journal of Hydrometeorology 20, no. 6 (2019): 1165–82. http://dx.doi.org/10.1175/jhm-d-18-0141.1.

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Abstract Land–atmosphere feedbacks occurring on daily to weekly time scales can magnify the intensity and duration of extreme weather events, such as droughts, heat waves, and convective storms. For such feedbacks to occur, the coupled land–atmosphere system must exhibit sufficient memory of soil moisture anomalies associated with the extreme event. The soil moisture autocorrelation e-folding time scale has been used previously to estimate soil moisture memory. However, the theoretical basis for this metric (i.e., that the land water budget is reasonably approximated by a red noise process) do

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26

Dirmeyer, Paul A. "The Hydrologic Feedback Pathway for Land–Climate Coupling." Journal of Hydrometeorology 7, no. 5 (2006): 857–67. http://dx.doi.org/10.1175/jhm526.1.

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Abstract The impact of improvements in land surface initialization and specification of observed rainfall in global climate model simulations of boreal summer are examined to determine how the changes propagate around the hydrologic cycle in the coupled land–atmosphere system. On the global scale, about 70% of any imparted signal in the hydrologic cycle is lost in the transition from atmosphere to land, and 70% of the remaining signal is lost from land to atmosphere. This means that globally, less than 10% of the signal of any change survives the complete circuit of the hydrologic cycle in thi

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27

Hagemann, Stefan, Tanja Blome, Altug Ekici, and Christian Beer. "Soil-frost-enabled soil-moisture–precipitation feedback over northern high latitudes." Earth System Dynamics 7, no. 3 (2016): 611–25. http://dx.doi.org/10.5194/esd-7-611-2016.

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Abstract. Permafrost or perennially frozen ground is an important part of the terrestrial cryosphere; roughly one quarter of Earth's land surface is underlain by permafrost. The currently observed global warming is most pronounced in the Arctic region and is projected to persist during the coming decades due to anthropogenic CO2 input. This warming will certainly have effects on the ecosystems of the vast permafrost areas of the high northern latitudes. The quantification of such effects, however, is still an open question. This is partly due to the complexity of the system, including several

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Vargas Zeppetello, Lucas R., David S. Battisti, and Marcia B. Baker. "The Origin of Soil Moisture Evaporation “Regimes”." Journal of Climate 32, no. 20 (2019): 6939–60. http://dx.doi.org/10.1175/jcli-d-19-0209.1.

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Abstract Evaporation plays an extremely important role in determining summertime surface temperature variability over land. Observations show the relationship between evaporation and soil moisture generally conforms to the Budyko “two regime” framework; namely, that evaporation is limited by available soil moisture in dry climates and by radiation in wet climates. This framework has led climate models to different parameterizations of the relationship between evaporation and soil moisture in wet and dry regions. We have developed the Simple Land–Atmosphere Model (SLAM) as a tool for studying l

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Delire, Christine, Nathalie de Noblet-Ducoudré, Adriana Sima, and Isabelle Gouirand. "Vegetation Dynamics Enhancing Long-Term Climate Variability Confirmed by Two Models." Journal of Climate 24, no. 9 (2011): 2238–57. http://dx.doi.org/10.1175/2010jcli3664.1.

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Abstract Two different coupled climate–vegetation models, the Community Climate Model version 3 coupled to the Integrated Biosphere Simulator (CCM3–IBIS) and the Laboratoire de Météorologie Dynamique’s climate model coupled to the Organizing Carbon and Hydrology in Dynamic Ecosystems model (LMDz–ORCHIDEE), are used to study the effects of vegetation dynamics on climate variability. Two sets of simulations of the preindustrial climate are performed using fixed climatological sea surface temperatures: one set taking into account vegetation cover dynamics and the other keeping the vegetation cove

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Dirmeyer, Paul A., Yan Jin, Bohar Singh, and Xiaoqin Yan. "Trends in Land–Atmosphere Interactions from CMIP5 Simulations." Journal of Hydrometeorology 14, no. 3 (2013): 829–49. http://dx.doi.org/10.1175/jhm-d-12-0107.1.

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Abstract Data from 15 models of phase 5 of the Coupled Model Intercomparison Project (CMIP5) for preindustrial, historical, and future climate change experiments are examined for consensus changes in land surface variables, fluxes, and metrics relevant to land–atmosphere interactions. Consensus changes in soil moisture and latent heat fluxes for past-to-present and present-to-future periods are consistent with CMIP3 simulations, showing a general drying trend over land (less soil moisture, less evaporation) over most of the globe, with the notable exception of high northern latitudes during wi

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Sulis, Mauro, John L. Williams, Prabhakar Shrestha, et al. "Coupling Groundwater, Vegetation, and Atmospheric Processes: A Comparison of Two Integrated Models." Journal of Hydrometeorology 18, no. 5 (2017): 1489–511. http://dx.doi.org/10.1175/jhm-d-16-0159.1.

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Abstract This study compares two modeling platforms, ParFlow.WRF (PF.WRF) and the Terrestrial Systems Modeling Platform (TerrSysMP), with a common 3D integrated surface–groundwater model to examine the variability in simulated soil–vegetation–atmosphere interactions. Idealized and hindcast simulations over the North Rhine–Westphalia region in western Germany for clear-sky conditions and strong convective precipitation using both modeling platforms are presented. Idealized simulations highlight the strong variability introduced by the difference in land surface parameterizations (e.g., ground e

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Arora, Vivek K., George J. Boer, Pierre Friedlingstein, et al. "Carbon–Concentration and Carbon–Climate Feedbacks in CMIP5 Earth System Models." Journal of Climate 26, no. 15 (2013): 5289–314. http://dx.doi.org/10.1175/jcli-d-12-00494.1.

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Abstract The magnitude and evolution of parameters that characterize feedbacks in the coupled carbon–climate system are compared across nine Earth system models (ESMs). The analysis is based on results from biogeochemically, radiatively, and fully coupled simulations in which CO2 increases at a rate of 1% yr−1. These simulations are part of phase 5 of the Coupled Model Intercomparison Project (CMIP5). The CO2 fluxes between the atmosphere and underlying land and ocean respond to changes in atmospheric CO2 concentration and to changes in temperature and other climate variables. The carbon–conce

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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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Santanello, Joseph A., Christa D. Peters-Lidard, Sujay V. Kumar, Charles Alonge, and Wei-Kuo Tao. "A Modeling and Observational Framework for Diagnosing Local Land–Atmosphere Coupling on Diurnal Time Scales." Journal of Hydrometeorology 10, no. 3 (2009): 577–99. http://dx.doi.org/10.1175/2009jhm1066.1.

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Abstract Land–atmosphere interactions play a critical role in determining the diurnal evolution of both planetary boundary layer (PBL) and land surface temperature and moisture states. The degree of coupling between the land surface and PBL in numerical weather prediction and climate models remains largely unexplored and undiagnosed because of the complex interactions and feedbacks present across a range of scales. Furthermore, uncoupled systems or experiments [e.g., the Project for the Intercomparison of Land-Surface Parameterization Schemes (PILPS)] may lead to inaccurate water and energy cy

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Wang, Xueqian, Weidong Guo, Bo Qiu, Ye Liu, Jianning Sun, and Aijun Ding. "Quantifying the contribution of land use change to surface temperature in the lower reaches of the Yangtze River." Atmospheric Chemistry and Physics 17, no. 8 (2017): 4989–96. http://dx.doi.org/10.5194/acp-17-4989-2017.

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Abstract. Anthropogenic land use has a significant impact on climate change. Located in the typical East Asian monsoon region, the land–atmosphere interaction in the lower reaches of the Yangtze River is even more complicated due to intensive human activities and different types of land use in this region. To better understand these effects on microclimate change, we compare differences in land surface temperature (Ts) for three land types around Nanjing from March to August, 2013, and then quantify the contribution of land surface factors to these differences (ΔTs) by considering the effects

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Gröger, Matthias, Christian Dieterich, Jari Haapala, et al. "Coupled regional Earth system modeling in the Baltic Sea region." Earth System Dynamics 12, no. 3 (2021): 939–73. http://dx.doi.org/10.5194/esd-12-939-2021.

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Abstract. Nonlinear responses to externally forced climate change are known to dampen or amplify the local climate impact due to complex cross-compartmental feedback loops in the Earth system. These feedbacks are less well represented in the traditional stand-alone atmosphere and ocean models on which many of today's regional climate assessments rely (e.g., EURO-CORDEX, NOSCCA and BACC II). This has promoted the development of regional climate models for the Baltic Sea region by coupling different compartments of the Earth system into more comprehensive models. Coupled models more realisticall

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Zabel, F., and W. Mauser. "2-way coupling the hydrological land surface model PROMET with the regional climate model MM5." Hydrology and Earth System Sciences 17, no. 5 (2013): 1705–14. http://dx.doi.org/10.5194/hess-17-1705-2013.

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Abstract. Most land surface hydrological models (LSHMs) consider land surface processes (e.g. soil–plant–atmosphere interactions, lateral water flows, snow and ice) in a spatially detailed manner. The atmosphere is considered as exogenous driver, neglecting feedbacks between the land surface and the atmosphere. On the other hand, regional climate models (RCMs) generally simulate land surface processes through coarse descriptions and spatial scales but include land–atmosphere interactions. What is the impact of the differently applied model physics and spatial resolution of LSHMs on the perform

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Fairbairn, David, Patricia de Rosnay, and Philip A. Browne. "The New Stand-Alone Surface Analysis at ECMWF: Implications for Land–Atmosphere DA Coupling." Journal of Hydrometeorology 20, no. 10 (2019): 2023–42. http://dx.doi.org/10.1175/jhm-d-19-0074.1.

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Abstract This article presents the “screen-level and surface analysis only” (SSA) system at the European Centre for Medium-Range Weather Forecasts (ECMWF). SSA is a simplification of the operational land–atmosphere weakly coupled data assimilation (WCDA). The goal of SSA is to provide 1) efficient research into land surface developments in NWP and 2) land reanalyses with land–atmosphere coupling. SSA maintains a coupled forecast model between assimilation cycles, but the atmospheric analysis is not performed; rather, it is forced from an archived analysis. Hence, SSA is much faster than WCDA,

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Shull, Nathan, and Eungul Lee. "April Vegetation Dynamics and Forest–Climate Interactions in Central Appalachia." Atmosphere 10, no. 12 (2019): 765. http://dx.doi.org/10.3390/atmos10120765.

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The study of land–atmosphere (L–A) interactions is an emerging field in which the effects of the land on the atmosphere are strongly considered. Though this coupled approach is becoming more popular in atmospheric research, L–A interactions are not fully understood, especially in temperate regions. This study provides the first in-depth investigation of L–A interactions and their impacts on near-surface climate conditions in the Appalachian region of the Eastern United States. By way of statistical analysis, we explore vegetation dynamics, L–A interactions, and the consequences for near-surfac

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Dirmeyer, Paul A., Yan Jin, Bohar Singh, and Xiaoqin Yan. "Evolving Land–Atmosphere Interactions over North America from CMIP5 Simulations." Journal of Climate 26, no. 19 (2013): 7313–27. http://dx.doi.org/10.1175/jcli-d-12-00454.1.

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Abstract Long-term changes in land–atmosphere interactions during spring and summer are examined over North America. A suite of models from phase 5 of the Coupled Model Intercomparison Project simulating preindustrial, historical, and severe future climate change scenarios are examined for changes in soil moisture, surface fluxes, atmospheric boundary layer characteristics, and metrics of land–atmosphere coupling. Simulations of changes from preindustrial to modern conditions show warming brings stronger surface fluxes at high latitudes, while subtropical regions of North America respond with

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Bedoya-Soto, Juan, Germán Poveda, and David Sauchyn. "New Insights on Land Surface-Atmosphere Feedbacks over Tropical South America at Interannual Timescales." Water 10, no. 8 (2018): 1095. http://dx.doi.org/10.3390/w10081095.

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We present a simplified overview of land-atmosphere feedbacks at interannual timescales over tropical South America as structural sets of linkages among surface air temperature (T), specific humidity at 925 hPa (q925), volumetric soil water content (Θ), precipitation (P), and evaporation (E), at monthly scale during 1979–2010. Applying a Maximum Covariance Analysis (MCA), we identify the modes of greatest interannual covariability in the datasets. Time series extracted from the MCAs were used to quantify linear and non-linear metrics at up to six-month lags to establish connections among varia

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Zabel, F., and W. Mauser. "Analysis of feedback effects and atmosphere responses when 2-way coupling a hydrological land surface model with a regional climate model – a case study for the Upper-Danube catchment." Hydrology and Earth System Sciences Discussions 9, no. 6 (2012): 7543–70. http://dx.doi.org/10.5194/hessd-9-7543-2012.

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Abstract. Most land surface hydrological models (LSHMs) take land surface processes (e.g. soil-plant-atmosphere interactions, lateral water flows, snow and ice) into detailed spatial account. On the other hand, they usually consider the atmosphere as exogenous driver only, thereby neglecting feedbacks between the land surface and the atmosphere. Regional climate models (RCMs), on the other hand, generally describe land surface processes much coarser but naturally include land-atmosphere interactions. What is the impact on RCMs performance of the differently applied model physics and spatial re

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Erlingis, Jessica M., and Ana P. Barros. "A Study of the Role of Daytime Land–Atmosphere Interactions on Nocturnal Convective Activity in the Southern Great Plains during CLASIC." Journal of Hydrometeorology 15, no. 5 (2014): 1932–53. http://dx.doi.org/10.1175/jhm-d-14-0016.1.

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Abstract This study examines whether and how land–atmosphere interactions can have an impact on nocturnal convection over the southern Great Plains (SGP) through numerical simulations of an intense nocturnal mesoscale convective system (MCS) on 19–20 June 2007 with the Weather Research and Forecasting (WRF) Model. High-resolution nested simulations were conducted using realistic and idealized land surfaces and two planetary boundary layer (PBL) parameterizations (PBLp): Yonsei University (YSU) and Mellor–Yamada–Janjić (MYJ). Differences in timing and amount of MCS precipitation among observati

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Campo, L., F. Castelli, D. Entekhabi, and F. Caparrini. "Land-atmosphere interactions in an high resolution atmospheric simulation coupled with a surface data assimilation scheme." Natural Hazards and Earth System Sciences 9, no. 5 (2009): 1613–24. http://dx.doi.org/10.5194/nhess-9-1613-2009.

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Abstract. A valid tool for the retrieving of the turbulent fluxes that characterize the surface energy budget is constituted by the remote sensing of land surface states. In this study sequences of satellite-derived observations (from SEVIRI sensors aboard the Meteosat Second Generation) of Land Surface Temperature have been used as input in a data assimilation scheme in order to retrieve parameters that describe energy balance at the ground surface in the Tuscany region, in central Italy, during summer 2005. A parsimonious 1-D multiscale variational assimilation procedure has been followed, t

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Lee, Temple R., and Michael Buban. "Evaluation of Monin–Obukhov and Bulk Richardson Parameterizations for Surface–Atmosphere Exchange." Journal of Applied Meteorology and Climatology 59, no. 6 (2020): 1091–107. http://dx.doi.org/10.1175/jamc-d-19-0057.1.

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AbstractThe Land–Atmosphere Feedback Experiment (LAFE) was a field campaign to investigate influences of different land surface types on the atmospheric boundary layer (ABL). The primary goals of LAFE were to better understand ABL development and structure and to improve turbulence parameterizations in numerical weather prediction models. Three 10-m micrometeorological towers were installed over different land surface types (i.e., early growth soybean, native grassland, and mature soybean) along a 1.7-km southwest–northeast-oriented line. All towers measured standard meteorological variables i

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Santanello, Joseph A., Sujay V. Kumar, Christa D. Peters-Lidard, Ken Harrison, and Shujia Zhou. "Impact of Land Model Calibration on Coupled Land–Atmosphere Prediction." Journal of Hydrometeorology 14, no. 5 (2013): 1373–400. http://dx.doi.org/10.1175/jhm-d-12-0127.1.

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Abstract Land–atmosphere (LA) interactions play a critical role in determining the diurnal evolution of both planetary boundary layer (PBL) and land surface heat and moisture budgets, as well as controlling feedbacks with clouds and precipitation that lead to the persistence of dry and wet regimes. In this study, the authors examine the impact of improved specification of land surface states, anomalies, and fluxes on coupled Weather Research and Forecasting Model (WRF) forecasts during the summers of extreme dry (2006) and wet (2007) land surface conditions in the U.S. southern Great Plains. T

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Decharme, B., C. Ottlé, S. Saux-Picart, et al. "A New Land Surface Hydrology within the Noah-WRF Land-Atmosphere Mesoscale Model Applied to Semiarid Environment: Evaluation over the Dantiandou Kori (Niger)." Advances in Meteorology 2009 (2009): 1–13. http://dx.doi.org/10.1155/2009/731874.

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Land-atmosphere feedbacks, which are particularly important over the Sahel during the West African Monsoon (WAM), partly depend on a large range of processes linked to the land surface hydrology and the vegetation heterogeneities. This study focuses on the evaluation of a new land surface hydrology within the Noah-WRF land-atmosphere-coupled mesoscale model over the Sahel. This new hydrology explicitly takes account for the Dunne runoff using topographic information, the Horton runoff using a Green-Ampt approximation, and land surface heterogeneities. The previous and new versions of Noah-WRF

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Taylor, Christopher M. "Intraseasonal Land–Atmosphere Coupling in the West African Monsoon." Journal of Climate 21, no. 24 (2008): 6636–48. http://dx.doi.org/10.1175/2008jcli2475.1.

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Abstract Via its impact on surface fluxes, subseasonal variability in soil moisture has the potential to feed back on regional atmospheric circulations, and thereby rainfall. An understanding of this feedback mechanism in the climate system has been hindered by the lack of observations at an appropriate scale. In this study, passive microwave data at 10.65 GHz from the Tropical Rainfall Measuring Mission satellite are used to identify soil moisture variability during the West African monsoon. A simple model of surface sensible heat flux is developed from these data and is used, alongside atmos

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Abbot, Dorian S., Chris C. Walker, and Eli Tziperman. "Can a Convective Cloud Feedback Help to Eliminate Winter Sea Ice at High CO2 Concentrations?" Journal of Climate 22, no. 21 (2009): 5719–31. http://dx.doi.org/10.1175/2009jcli2854.1.

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Abstract Winter sea ice dramatically cools the Arctic climate during the coldest months of the year and may have remote effects on global climate as well. Accurate forecasting of winter sea ice has significant social and economic benefits. Such forecasting requires the identification and understanding of all of the feedbacks that can affect sea ice. A convective cloud feedback has recently been proposed in the context of explaining equable climates, for example, the climate of the Eocene, which might be important for determining future winter sea ice. In this feedback, CO2-initiated warming le

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Ferguson, Craig R., and Eric F. Wood. "Observed Land–Atmosphere Coupling from Satellite Remote Sensing and Reanalysis." Journal of Hydrometeorology 12, no. 6 (2011): 1221–54. http://dx.doi.org/10.1175/2011jhm1380.1.

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Abstract The lack of observational data for use in evaluating the realism of model-based land–atmosphere feedback signal and strength has been deemed a major obstacle to future improvements to seasonal weather prediction by the Global Land–Atmosphere Coupling Experiment (GLACE). To address this need, a 7-yr (2002–09) satellite remote sensing data record is exploited to produce for the first time global maps of predominant coupling signals. Specifically, a previously implemented convective triggering potential (CTP)–humidity index (HI) framework for describing atmospheric controls on soil moist

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