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Journal articles on the topic 'Monthly Anomalies'

Author: Grafiati

Published: 25 June 2021

Last updated: 29 July 2025

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1

Betts, Alan K., Ahmed B. Tawfik, and Raymond L. Desjardins. "Revisiting Hydrometeorology Using Cloud and Climate Observations." Journal of Hydrometeorology 18, no. 4 (2017): 939–55. http://dx.doi.org/10.1175/jhm-d-16-0203.1.

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Abstract This paper uses 620 station years of hourly Canadian Prairie climate data to analyze the coupling of monthly near-surface climate with opaque cloud, a surrogate for radiation, and precipitation anomalies. While the cloud–climate coupling is strong, precipitation anomalies impact monthly climate for as long as 5 months. The April climate has memory of precipitation anomalies back to freeze-up in November, mostly stored in the snowpack. The summer climate has memory of precipitation anomalies back to the beginning of snowmelt in March. In the warm season, mean temperature is strongly co

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Aptukov, Valery N., and Victor Yu Mitin. "STATISTICAL MODELS FOR FORECASTING AVERAGE MONTHLY TEMPERATURE AND MONTHLY PRECIPITATION AMOUNT IN PERM." Географический вестник = Geographical bulletin, no. 2(57) (2021): 84–95. http://dx.doi.org/10.17072/2079-7877-2021-2-84-95.

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The article proposes an approach to forecasting mean temperature and total precipitation for the upcoming month, based on the study of the regularities of the influence of statistical characteristics of temperature and precipitation of previous periods on them. Among the predictors, along with the basic statistical characteristics, we use the fractality index which is an indicator of the randomness/ determinism of the climate series. Within the framework of this approach, we have developed models of different levels to predict the temperature and total precipitation amount in the upcoming mont

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Teutli-Hernández, Claudia, M. Fernanda Cepeda-González, Jorge L. Montero-Muñoz, Israel Medina-Gómez, Rosa María Román-Cuesta, and Jorge A. Herrera-Silveira. "Relationship of litterfall anomalies with climatic anomalies in a mangrove swamp of the Yucatan Peninsula, Mexico." PLOS ONE 19, no. 8 (2024): e0307376. http://dx.doi.org/10.1371/journal.pone.0307376.

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Among the set of phenological traits featuring mangrove ecosystems, litterfall production stands out with marked intra-annual and longer-term variation. Furthermore, mangrove forests resilience is one of the most important ecological attribute, reconciling the juxtaposed terrestrial and marine environment such transitional systems occupy. However, world’s mangroves are nowadays facing recurrent climatic events, reflected in anomalies depicted by major drivers, including temperature and precipitation. This physical-environmental setting may either constrain or favor overall forest productivity.

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Xu, Shan, Liang Zhai, Bin Zou, and Huiyong Sang. "Multiscale Analysis of Water Area, Level and Flow and Their Relationships for a Large Lake Connected to Rivers: A Case Study of Dongting Lake, China." Water 16, no. 9 (2024): 1198. http://dx.doi.org/10.3390/w16091198.

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Exploring the different characteristics of water status at different time scales is essential for the understanding of the complex hydrological processes in lakes connected to rivers. Taking Dongting Lake, a large-scale lake connected to the Yangtze River, as an example, this study employed wavelet analysis and multiple models to explore the temporal characteristics of water area, level, and flow and the water level–area and flow–area correlations from 2000 to 2021 on annual, seasonal, and monthly scales. The results show that the interannual variations in annual, seasonal, and monthly water a

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Taylor, Patrick C. "Variability of Monthly Diurnal Cycle Composites of TOA Radiative Fluxes in the Tropics." Journal of the Atmospheric Sciences 71, no. 2 (2013): 754–66. http://dx.doi.org/10.1175/jas-d-13-0112.1.

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Abstract Earth system variability is generated by a number of different sources and time scales. Understanding sources of atmospheric variability is critical to reducing the uncertainty in climate models and to understanding the impacts of sampling on observational datasets. The diurnal cycle is a fundamental variability evident in many geophysical variables—including top-of-the-atmosphere (TOA) radiative fluxes. This study considers aspects of the TOA flux diurnal cycle not previously analyzed: namely, deseasonalized variations in the monthly diurnal cycle composites, termed monthly diurnal c

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Borges, A. V., B. Tilbrook, N. Metzl, A. Lenton, and B. Delille. "Inter-annual variability of the carbon dioxide oceanic sink south of Tasmania." Biogeosciences 5, no. 1 (2008): 141–55. http://dx.doi.org/10.5194/bg-5-141-2008.

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Abstract. We compiled a large data-set from 22 cruises spanning from 1991 to 2003, of the partial pressure of CO2 (pCO2) in surface waters over the continental shelf (CS) and adjacent open ocean (43° to 46° S; 145° to 150° E), south of Tasmania. Climatological seasonal cycles of pCO2 in the CS, the subtropical zone (STZ) and the subAntarctic zone (SAZ) are described and used to determine monthly pCO2 anomalies. These are used in combination with monthly anomalies of sea surface temperature (SST) to investigate inter-annual variations of SST and pCO2. Monthly anomalies of SST (as intense as 2°C

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Plastun, Alex, Xolani Sibande, Rangan Gupta, and Mark E. Wohar. "Historical evolution of monthly anomalies in international stock markets." Research in International Business and Finance 52 (April 2020): 101127. http://dx.doi.org/10.1016/j.ribaf.2019.101127.

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Lagos, P., Y. Silva, E. Nickl, and K. Mosquera. "El Niño – related precipitation variability in Perú." Advances in Geosciences 14 (April 10, 2008): 231–37. http://dx.doi.org/10.5194/adgeo-14-231-2008.

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Abstract. The relationship between monthly mean sea surface temperature (SST) anomalies in the commonly used El Niño regions and precipitation for 44 stations in Perú is documented for 1950–2002. Linear lag correlation analysis is employed to establish the potential for statistical precipitation forecasts from SSTs. Useful monthly mean precipitation anomaly forecasts are possible for several locations and calendar months if SST anomalies in El Niño 1+2, Niño 3.4, and Niño 4 regions are available. Prediction of SST anomalies in El Niño regions is routinely available from Climate Prediction Cent

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Krokhin, V. V., and W. M. J. Luxemburg. "Temperatures and precipitation totals over the Russian Far East and Eastern Siberia: long-term variability and its links to teleconnection indices." Hydrology and Earth System Sciences Discussions 3, no. 4 (2006): 1915–42. http://dx.doi.org/10.5194/hessd-3-1915-2006.

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Abstract. The present study examines the spatial-temporal regime of the mean monthly temperature (MMT) and monthly precipitation (MPT) anomalies over the Russian Far East and Eastern Siberia for the period 1949–2003. The original data were analyzed spatially by means of complex principal component analysis and temporally by means of the maximum entropy method and traditional Fourier spectral analysis. The interannual variability in these anomalies can be represented by the single dominant modes. These dominant modes oscillate with periods of about 2–3 yr and 6–8 yr that are accompanied by stat

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Krokhin, V. V., and W. M. J. Luxemburg. "Temperatures and precipitation totals over the Russian Far East and Eastern Siberia: long-term variability and its links to teleconnection indices." Hydrology and Earth System Sciences 11, no. 6 (2007): 1831–41. http://dx.doi.org/10.5194/hess-11-1831-2007.

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Abstract. The present study examines the spatial-temporal regime of the mean monthly temperature (MMT) and monthly precipitation (MPT) anomalies over the Russian Far East and Eastern Siberia for the period 1949–2003. The original data were analyzed spatially by means of complex principal component analysis and temporally by means of the maximum entropy method and traditional Fourier spectral analysis. The interannual variability in these anomalies can be represented by the single dominant modes. These dominant modes oscillate with periods of about 2–3 yr and 6–8 yr that are accompanied by stat

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11

Klein, William H., and Runhua Yang. "Specification of monthly mean surface temperature anomalies in Europe and Asia from concurrent 700 mb monthly mean height anomalies over the Northern Hemisphere." Journal of Climatology 6, no. 5 (1986): 463–84. http://dx.doi.org/10.1002/joc.3370060503.

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12

Vilfand, R. M., E. N. Kruglova, I. A. Kulikova, and V. M. Khan. "Improved dynamic statistical method for forecasting monthly surface air temperature." Hydrometeorological research and forecasting 1 (March 30, 2023): 6–21. http://dx.doi.org/10.37162/2618-9631-2023-1-6-20.

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The possibility of improving the dynamic statistical method for forecasting monthly air temperature using modern hydrodynamic models and statistical methods in operational practice of the Hydrometeorological Research Center of Russia is substantiated. The technology for monthly forecasting of surface air temperature anomalies based on the combination of the improved scheme of medium-range forecasts of weather elements for 15 days and the SL-AV model output forecast data for 16–30 days is presented. Forecast skill scores obtained in real time for 326 stations located on the territory of Russia

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Siqueira, Beatriz, Jonas Teixeira Nery, and Ana Cláudia Carfan. "Relationship between the rainfall index for Southern Brazil and the indexes of the Tropical Pacific and the Tropical Atlantic Oceans." Acta Scientiarum. Technology 45 (September 27, 2023): e58368. http://dx.doi.org/10.4025/actascitechnol.v45i1.58368.

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The proposed study verified the possible influences of sea surface temperature (SST) anomalies in the equatorial Pacific and the tropical Atlantic on the rainfall in the southern region of Brazil. The rainfall stations used have monthly data for the period from 1977 to 2015 and are distributed throughout that region. Monthly TSM anomalies in the Niño 3.4 and Niño 1 + 2 areas, the Southern Oscillation Index and the Monthly Tropical South Atlantic Temperature Index were also used, from the database provided by the Climate Prediction Centre. The results show the association of precipitation in th

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Kossowska-Cezak, Urszula. "Monthly thermal and precipitation anomalies in Warsaw and their causes." Miscellanea Geographica 7, no. 1 (1996): 71–76. http://dx.doi.org/10.2478/mgrsd-1996-070110.

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15

Smith, Thomas M., Phillip A. Arkin, Mathew R. P. Sapiano, and Ching-Yee Chang. "Merged Statistical Analyses of Historical Monthly Precipitation Anomalies Beginning 1900." Journal of Climate 23, no. 21 (2010): 5755–70. http://dx.doi.org/10.1175/2010jcli3530.1.

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Abstract A monthly reconstruction of precipitation beginning in 1900 is presented. The reconstruction resolves interannual and longer time scales and spatial scales larger than 5° over both land and oceans. Because of different land and ocean data availability, the reconstruction combines two separate historical reconstructions. One analyzes interannual variations directly by fitting gauge-based anomalies to large-scale spatial modes. This direct reconstruction is used for land anomalies and interannual oceanic anomalies. The other analyzes annual and longer variations indirectly from correlat

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CASTILLA, EDUARDO E., IEDA M. ORIOLI, REGINA LUGARINHO, et al. "Monthly and Seasonal Variations in the Frequency of Congenital Anomalies." International Journal of Epidemiology 19, no. 2 (1990): 399–404. http://dx.doi.org/10.1093/ije/19.2.399.

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17

Krikken, F., and W. Hazeleger. "Arctic Energy Budget in Relation to Sea Ice Variability on Monthly-to-Annual Time Scales." Journal of Climate 28, no. 16 (2015): 6335–50. http://dx.doi.org/10.1175/jcli-d-15-0002.1.

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Abstract The large decrease in Arctic sea ice in recent years has triggered a strong interest in Arctic sea ice predictions on seasonal-to-decadal time scales. Hence, it is important to understand physical processes that provide enhanced predictability beyond persistence of sea ice anomalies. This study analyzes the natural variability of Arctic sea ice from an energy budget perspective, using 15 climate models from phase 5 of CMIP (CMIP5), and compares these results to reanalysis data. The authors quantify the persistence of sea ice anomalies and the cross correlation with the surface and top

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18

Kato, Seiji. "Interannual Variability of the Global Radiation Budget." Journal of Climate 22, no. 18 (2009): 4893–907. http://dx.doi.org/10.1175/2009jcli2795.1.

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Abstract Interannual variability of the global radiation budget, regions that contribute to its variability, and what limits albedo variability are investigated using Clouds and the Earth’s Radiant Energy System (CERES) data taken from March 2000 through February 2004. Area-weighted mean top-of-atmosphere (TOA) reflected shortwave, longwave, and net irradiance standard deviations computed from monthly anomalies over a 1° × 1° region are 9.6, 7.6, and 7.6 W m−2, respectively. When standard deviations are computed from global monthly anomalies, they drop to 0.5, 0.4, and 0.4 W m−2, respectively.

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Nakamura, Mototaka, and Shozo Yamane. "Dominant Anomaly Patterns in the Near-Surface Baroclinicity and Accompanying Anomalies in the Atmosphere and Oceans. Part I: North Atlantic Basin." Journal of Climate 22, no. 4 (2009): 880–904. http://dx.doi.org/10.1175/2008jcli2297.1.

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Abstract Variability in the monthly mean flow and storm track in the North Atlantic basin is examined with a focus on the near-surface baroclinicity, B = Bxi + Byj. Dominant patterns of anomalous B found from empirical orthogonal function (EOF) analyses generally show patterns of shift and changes in the strength of B. Composited anomalies in the monthly mean wind at various pressure levels based on the signals in the EOFs display robust accompanying anomalies in the mean flow up to 50 hPa in the winter and up to 100 hPa in other seasons. Anomalous eddy fields accompanying the anomalous Bx pat

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Ewen, Tracy, Andrea Grant, and Stefan Brönnimann. "A Monthly Upper-Air Dataset for North America Back to 1922 from the Monthly Weather Review." Monthly Weather Review 136, no. 5 (2008): 1792–805. http://dx.doi.org/10.1175/2007mwr2202.1.

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Abstract Upper-air observations with kites, aircraft, and radiosondes were performed in the United States operationally since the 1890s. In this paper, the authors present a reevaluation of newly digitized monthly mean values from the Monthly Weather Review back to 1922. Data from 46 U.S. weather stations are presented with a focus on early kite and aircraft observations during the 1922–38 period. A quality assessment of the data, based on reconstructed reference series, is carried out and the quality of the monthly mean data is found to be sufficient for analysis of variability in upper-level

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SINGH, O. P., S. P. JOSHI, and G. SUNDARI. "PRESSURE FIELDS OVER INDIAN SEAS AND THEIR RELATIONSHIPS WITH INDIAN SUMMER MONSOON RAINFALL." MAUSAM 45, no. 2 (2022): 149–54. http://dx.doi.org/10.54302/mausam.v45i2.2007.

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Monthly ano mal ies of surface pressu re for quadrangula r grids over Indian Seas ha ve been computedulilisin& 15 )'~ars' I NCU data (1976-90). The relationships between the grid pressure anomalies and summermonsoon rainfall over India ha ve beendiscussed. Good correlations have bee n found between the anomalies ofMayand the monsoon rainfall.

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Navarra, A. "Simulation of monthly mean circulation anomalies using a linear anomay model." Il Nuovo Cimento C 15, no. 3 (1992): 253–63. http://dx.doi.org/10.1007/bf02533650.

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Murata, Akihiko M. "Monthly-mean temperature anomalies in relation to spatial scale in Japan." International Journal of Climatology 13, no. 3 (1993): 329–41. http://dx.doi.org/10.1002/joc.3370130308.

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Varotsos, C. A., and M. N. Efstathiou. "On the scaling effect in global surface air temperature anomalies." Atmospheric Chemistry and Physics Discussions 12, no. 6 (2012): 14727–46. http://dx.doi.org/10.5194/acpd-12-14727-2012.

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Abstract. The annual and the monthly mean values of the land-surface air temperature anomalies during 1880–2011, over both hemispheres, are used to investigate the existence of long-range correlations in their temporal march. The analytical tool employed is the detrended fluctuation analysis which eliminates the noise of the non-stationarities that characterize the land-surface air temperature anomalies in both hemispheres. The main result obtained is that deviations of one sign of the land-surface air temperature anomalies in both hemispheres are generally followed by deviations with the same

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Klein, William H., and Ying Dai. "Reconstruction of Monthly Mean 700-mb Heights from Surface Data by Reverse Specification." Journal of Climate 11, no. 8 (1998): 2136–46. http://dx.doi.org/10.1175/1520-0442-11.8.2136.

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Abstract This paper demonstrates an objective method of computing monthly mean 700-mb height anomalies (H) at 108 grid points in the Western Hemisphere for a 40-yr period as a function of concurrent anomalies of monthly mean sea level pressure (P), at the same 108 points used for H, and monthly mean surface air temperature (T) averaged over 112 areas in North America. The authors applied a forward stepwise program to derive linear multiple regression equations that explained 81% of the variance of H by means of only 3.5 variables, averaged over all months and grid points. The stability of thes

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Shrestha, Prabhakar. "Clouds and Vegetation Modulate Shallow Groundwater Table Depth." Journal of Hydrometeorology 22, no. 4 (2021): 753–63. http://dx.doi.org/10.1175/jhm-d-20-0171.1.

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AbstractA 10-yr simulation of shallow groundwater table (GWT) depth over a temperate region in northwestern Europe, using a physics-based integrated hydrological model at kilometer scale, exhibits a strong seasonal cycle. This is also well captured in terms of near-surface soil moisture anomalies, terrestrial water storage anomalies, and shallow GWT depth anomalies from observations over the region. The modeled monthly anomaly of GWT depth exhibits a statistically significant (p < 0.05) moderate positive/negative correlation with non-rain- and rain-affected monthly anomalies of incoming sol

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Zeppetello, Lucas R. Vargas, David S. Battisti, and Marcia B. Baker. "The Physics of Heat Waves: What Causes Extremely High Summertime Temperatures?" Journal of Climate 35, no. 7 (2022): 2231–51. http://dx.doi.org/10.1175/jcli-d-21-0236.1.

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Abstract We analyze observations and develop a hierarchy of models to understand heat waves—long-lived, high temperature anomalies—and extremely high daily temperatures during summertime in the continental extratropics. Throughout the extratropics, the number of extremely hot days found in the three hottest months is much greater than expected from a random, single-process model. Furthermore, in many locations the temperature skewness switches from negative on daily time scales to positive on monthly time scales (or shifts from positive on daily time scales to higher positive values on monthly

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Zhou, Xinyao, Yongqiang Zhang, Yonghui Yang, Yanmin Yang, and Shumin Han. "Evaluation of anomalies in GLDAS-1996 dataset." Water Science and Technology 67, no. 8 (2013): 1718–27. http://dx.doi.org/10.2166/wst.2013.043.

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Global Land Data Assimilation System (GLDAS) data are widely used for land-surface flux simulations. Therefore, the simulation accuracy using GLDAS dataset is largely contingent upon the accuracy of the GLDAS dataset. It is found that GLDAS land-surface model simulated runoff exhibits strong anomalies for 1996. These anomalies are investigated by evaluating four GLDAS meteorological forcing data (precipitation, air temperature, downward shortwave radiation and downward longwave radiation) in six large basins across the world (Danube, Mississippi, Yangtze, Congo, Amazon and Murray-Darling basin

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Murugesan, R., and Umesh Shinde. "ANALYSIS OF RETURN RATES FOR ANOMALIES." Platform : A Journal of Management and Humanities 6, no. 1 (2023): 14. http://dx.doi.org/10.61762/pjmhvol6iss1art22885.

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This study investigates the presence of any purposive movement in the commodity market of expensive metals and energy commodities in the Indian market. Using daily, weekly, and monthly data for gold and crude oil from 2010 to 2020, We discover proof that the commodity market exhibits anomalies. We observed periodic anomalies present due to festivals celebrated. This may have an impact on the country's economic conditions. Given investors' growing propensity to reveal their portfolios to financial vehicles linked to them, this issue is significant for commodities used for speculation, hedging,

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Canchala, Teresita, Wilfredo Alfonso-Morales, Yesid Carvajal-Escobar, Wilmar L. Cerón, and Eduardo Caicedo-Bravo. "Monthly Rainfall Anomalies Forecasting for Southwestern Colombia Using Artificial Neural Networks Approaches." Water 12, no. 9 (2020): 2628. http://dx.doi.org/10.3390/w12092628.

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Improving the accuracy of rainfall forecasting is relevant for adequate water resources planning and management. This research project evaluated the performance of the combination of three Artificial Neural Networks (ANN) approaches in the forecasting of the monthly rainfall anomalies for Southwestern Colombia. For this purpose, we applied the Non-linear Principal Component Analysis (NLPCA) approach to get the main modes, a Neural Network Autoregressive Moving Average with eXogenous variables (NNARMAX) as a model, and an Inverse NLPCA approach for reconstructing the monthly rainfall anomalies

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Gulseven, Osman. "Multidimensional Analysis of Monthly Stock Market Returns." Annals of the Alexandru Ioan Cuza University - Economics 61, no. 2 (2014): 181–96. http://dx.doi.org/10.2478/aicue-2014-0013.

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Abstract This study examines the monthly returns in Turkish and American stock market indices to investigate whether these markets experience abnormal returns during some months of the calendar year. The data used in this research includes 212 observations between January 1996 and August 2014. I apply statistical summary analysis, decomposition technique, dummy variable estimation, and binary logistic regression to check for the monthly market anomalies. The multidimensional methods used in this article suggest weak evidence against the efficient market hypothesis on monthly returns. While som

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Ferrone, Alfonso, Daniele Mastrangelo, and Piero Malguzzi. "Multimodel probabilistic prediction of 2 m-temperature anomalies on the monthly timescale." Advances in Science and Research 14 (May 8, 2017): 123–29. http://dx.doi.org/10.5194/asr-14-123-2017.

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Abstract. The 2 m-temperature anomalies from the reforecasts of the CNR-ISAC and ECMWF monthly prediction systems have been combined in a multimodel super-ensemble. Tercile probability predictions obtained from the multimodel have been constructed using direct model outputs (DMO) and model output statistics (MOS), like logistic and nonhomogeneous Gaussian regression, for the 1990–2010 winter seasons. Verification with ERA-Interim reanalyses indicates that logistic regression gives the best results in terms of ranked probability skill scores (RPSS) and reliability diagrams for low–medium foreca

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Mo, Kingtse C., and Eugenia Kalnay. "Impact of Sea Surface Temperature Anomalies on the Skill of Monthly Forecasts." Monthly Weather Review 119, no. 12 (1991): 2771–93. http://dx.doi.org/10.1175/1520-0493(1991)119<2771:iossta>2.0.co;2.

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Robertson, Andrew W. "Diagnosis of Regional Monthly Anomalies Using the Adjoint Method. Part I: Temperature." Journal of the Atmospheric Sciences 49, no. 11 (1992): 885–905. http://dx.doi.org/10.1175/1520-0469(1992)049<0885:dormau>2.0.co;2.

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Duvvuri, Bhavya, and Edward Beighley. "Estimating Monthly River Discharges from GRACE/GRACE-FO Terrestrial Water Storage Anomalies." Remote Sensing 15, no. 18 (2023): 4516. http://dx.doi.org/10.3390/rs15184516.

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Simulating river discharge is a complex convolution depending on precipitation, runoff generation and transformation, and network attenuation. Terrestrial water storage anomalies (TWSA) from NASA’s Gravity Recovery and Climate Experiment (GRACE) and its follow-on mission can be used to estimate monthly river discharge (Q). Monthly discharges for the period April 2002–January 2022 are estimated at 2870 U.S. Geological Survey gauge locations (draining 1K to 3M km2) throughout the continental U.S. (CONUS) using two-parameter exponential relationships between TWSA and Q. Roughly 70% of the study s

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Wu, Qigang, and Xiangdong Zhang. "Observed Evidence of an Impact of the Antarctic Sea Ice Dipole on the Antarctic Oscillation." Journal of Climate 24, no. 16 (2011): 4508–18. http://dx.doi.org/10.1175/2011jcli3965.1.

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Abstract A lagged maximum covariance analysis (MCA) is applied to investigate the linear covariability between monthly sea ice concentration (SIC) and 500-mb geopotential height (Z500) in the Southern Hemisphere (SH). The dominant signal is the atmospheric forcing of SIC anomalies throughout the year, but statistically significant covariances are also found between austral springtime Z500 and prior SIC anomalies up to four months earlier. The MCA pattern is characterized by an Antarctic dipole (ADP)-like pattern in SIC and a positively polarized Antarctic Oscillation (AAO) in Z500. Such long l

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Feldman, Andrew F., Zhen Zhang, Yasuko Yoshida, Abhishek Chatterjee, and Benjamin Poulter. "Using Orbiting Carbon Observatory-2 (OCO-2) column CO₂ retrievals to rapidly detect and estimate biospheric surface carbon flux anomalies." Atmospheric Chemistry and Physics 23, no. 2 (2023): 1545–63. http://dx.doi.org/10.5194/acp-23-1545-2023.

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Abstract. The global carbon cycle is experiencing continued perturbations via increases in atmospheric carbon concentrations, which are partly reduced by terrestrial biosphere and ocean carbon uptake. Greenhouse gas satellites have been shown to be useful in retrieving atmospheric carbon concentrations and observing surface and atmospheric CO2 seasonal-to-interannual variations. However, limited attention has been placed on using satellite column CO2 retrievals to evaluate surface CO2 fluxes from the terrestrial biosphere without advanced inversion models at low latency. Such applications coul

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Camiolo, M. D., E. Cozzolino, and A. J. Jaureguizar. "Material Particulado en Suspensión en el Río de la Plata: importancia del río Bermejo en su variabilidad espacio-temporal." Revista de Teledetección, no. 51 (June 29, 2018): 1. http://dx.doi.org/10.4995/raet.2018.9864.

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<p>Spatio-temporal variability of Suspended Particulate Matter (SPM) in the Río de la Plata (RdlP) is analyzed from 2002-2014 of MODIS (Moderate Resolution Imaging Spectroradiometer) data and explained in terms of its main tributaries flows. The monthly mean showed maximum during late summer to mid-autumn, and minimum in mid-winter to early summer. The Bermejo river (BeR), is the tributary that more sediment in suspension brings. This situation was reflected in the significant relationship between the mean monthly concentrations of SPM with the average monthly flow of BeR. Seasonal varia

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SINGH, DHANNA, C. V. V. BHADRAM, and G. S. MANDAL. "Relationship between tropospheric thickness anomalies and Indian summer monsoon rainfall." MAUSAM 47, no. 4 (2021): 377–82. http://dx.doi.org/10.54302/mausam.v47i4.3757.

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ABSTRACT .The tropospheric mean monthly thickness anomalies of northern Indian stations of selected layers for the months April to July for a 28 years (1968-95) period have been analysed. The thickness anomalies of April and May exhibit significant persistence through July. Also the thickness anomalies of different layers for the months May-July are found to have generally significant (5% to 0.1% level) linear correlations with the succeeding all India seasonal monsoon rainfall. Out of different layers and all the months analysed, the thickness anomalies of 850-300 and 850-100 hPa layers for M

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de Boisséson, E., M. A. Balmaseda, F. Vitart, and K. Mogensen. "Impact of the sea surface temperature forcing on hindcasts of Madden-Julian Oscillation events using the ECMWF model." Ocean Science Discussions 9, no. 4 (2012): 2535–59. http://dx.doi.org/10.5194/osd-9-2535-2012.

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Abstract. This paper explores the sensitivity of the prediction of Madden Julian Oscillation (MJO) events to different aspects of the sea surface temperature (SST) in the European Centre for Medium-range Weather Forecasts (ECMWF) model. The impact of temporal resolution of SST on the MJO is first evaluated via a set of monthly hindcast experiments. The experiments are conducted with an atmosphere forced by persisted SST anomalies, monthly and weekly SSTs. Skill scores are clearly degraded when weekly SSTs are replaced by monthly values or persisted anomalies. The new high resolution OSTIA SST

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Lin, Jyh-Woei. "Latitude-Time Total Electron Content Anomalies as Precursors to Japan's Large Earthquakes Associated with Principal Component Analysis." International Journal of Geophysics 2011 (2011): 1–12. http://dx.doi.org/10.1155/2011/763527.

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The goal of this study is to determine whether principal component analysis (PCA) can be used to process latitude-time ionospheric TEC data on a monthly basis to identify earthquake associated TEC anomalies. PCA is applied to latitude-time (mean-of-a-month) ionospheric total electron content (TEC) records collected from the Japan GEONET network to detect TEC anomalies associated with 18 earthquakes in Japan () from 2000 to 2005. According to the results, PCA was able to discriminate clear TEC anomalies in the months when all 18 earthquakes occurred. After reviewing months when no earthquakes o

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Wu, Qigang, Haibo Hu, and Lujun Zhang. "Observed Influences of Autumn–Early Winter Eurasian Snow Cover Anomalies on the Hemispheric PNA-like Variability in Winter." Journal of Climate 24, no. 7 (2011): 2017–23. http://dx.doi.org/10.1175/2011jcli4236.1.

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Abstract The impact of the Eurasian snow cover extent on the Northern Hemisphere (NH) circulation is investigated by applying a lagged maximum covariance analysis (MCA) to monthly satellite-derived snow cover and NCEP reanalysis data. Wintertime atmospheric signals significantly correlated with persistently autumn–early winter snow cover anomalies are found in the leading two MCA modes. The first MCA mode indicates the effect of Eurasian snow cover anomalies on the Arctic Oscillation/North Atlantic Oscillation (AO/NAO). The second MCA mode corresponds with the forcing of Eurasian snow cover an

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Yu, Lejiang, Shiyuan Zhong, and Bo Sun. "Synchronous Variation Patterns of Monthly Sea Ice Anomalies at the Arctic and Antarctic." Journal of Climate 35, no. 9 (2022): 2823–47. http://dx.doi.org/10.1175/jcli-d-21-0756.1.

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Abstract Sea ice variability in the opposite polar regions is examined holistically by applying the self-organizing map (SOM) method to global monthly sea ice concentration data over two periods. The results show that the variability modes of sea ice decrease in the Arctic correspond to an overall sea ice increase in the Antarctic, and vice versa. In particular, the monthly sea ice anomaly patterns are dominated by in-phase variability across the Arctic that is stronger in the marginal seas particularly the Barents Sea than the central Arctic Ocean. The corresponding Antarctic sea ice variabil

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Robertson, Andrew W. "Diagnosis of Regional Monthly Anomalies Using the Adjoint Method. Part II: Potential Vorticity." Journal of the Atmospheric Sciences 49, no. 11 (1992): 906–18. http://dx.doi.org/10.1175/1520-0469(1992)049<0906:dormau>2.0.co;2.

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Klein, William H. "Specification of monthly mean anomalies of surface air temperature in Canada and Alaska." Atmosphere-Ocean 23, no. 2 (1985): 155–76. http://dx.doi.org/10.1080/07055900.1985.9649220.

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Selvam, A. M. "Signatures of universal characteristics of fractal fluctuations in global mean monthly temperature anomalies." Journal of Systems Science and Complexity 24, no. 1 (2011): 14–38. http://dx.doi.org/10.1007/s11424-011-9020-5.

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Klein, William H., and Bruce T. Whistler. "Specification of monthly mean anomalies of fire weather elements in the United States." Agricultural and Forest Meteorology 56, no. 1-2 (1991): 145–72. http://dx.doi.org/10.1016/0168-1923(91)90109-4.

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Evtimov, S., and M. Ivanov. "Intraannual dissimilarities between monthly mean Northern Hemisphere temperature anomalies during the twentieth century." Theoretical and Applied Climatology 90, no. 3-4 (2007): 161–68. http://dx.doi.org/10.1007/s00704-007-0307-3.

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Maryon, R. H., and A. M. Storey. "A multivariate statistical model for forecasting anomalies of half-monthly mean surface pressure." Journal of Climatology 5, no. 5 (1985): 561–78. http://dx.doi.org/10.1002/joc.3370050509.

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Yolanda, Fransiska Shasa, Maria Theresia Ernawati, and Caecilia Wahyu Estining Rahayu. "Market Anomaly Testing: Phenomena of Day of the Week Effect and Month of the Year Effect on IDX80 in Indonesia Stock Exchange." Journal of Management and Business Environment (JMBE) 4, no. 1 (2022): 20–42. http://dx.doi.org/10.24167/jmbe.v4i1.4664.

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This study aims at determining occurrence of day of the week effect, Monday effect, weekend effect, month of the year effect, and January effect on IDX80 stock trading in the Indonesia Stock Exchange. This is an empirical study on trading time (daily and monthly) and stock returns using comparative method. The population is companies incorporated in the IDX80 index on the Indonesia Stock Exchange. Applying purposive sampling method, the sample was 70 companies consistently listed in the IDX80 index and were actively trading. The data covering daily and monthly stock returns for the period 1 Fe

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