Results 31 to 40 of about 1,799 (189)
Journal of Water and Climate Change, 2022 Data scarcity has been a huge problem in modelling catchments especially in the tropical region. Satellite data and different statistical methods are being used to improve the quality of conventional meteorological data. However, their potential needs to
Maria Theresa Nakkazi +3 more
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Simulation of stratospheric water vapor and trends using three reanalyses [PDF]
Atmospheric Chemistry and Physics, 2012 The domain-filling, forward trajectory calculation model developed by Schoeberl and Dessler (2011) is extended to the 1979–2010 period. We compare results from NASA's MERRA, NCEP's CFSR, and ECMWF's ERAi reanalyses with HALOE, MLS, and balloon ...
M. R. Schoeberl, A. E. Dessler, T. Wang
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Evaluation of the Performance of CFSR Reanalysis Data Set for Estimating Potential Evapotranspiration (PET) in Turkey [PDF]
, 2021 Abstract Evapotranspiration is an important parameter for hydrological, meteorological and agricultural studies. However, the calculation of actual evapotranspiration is very challenging and costly. Therefore, Potential Evapotranspiration (PET) is typically calculated using meteorological data to calculate actual evapotranspiration. However, it
AHMET IRVEM, Mustafa OZBULDU
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Comparison and Validation of Arctic Precipitation Fields from Three Atmospheric Reanalyses: CFSR, MERRA, ERA-Interim [PDF]
, 2014 The intent of thesis project was to investigate Arctic precipitation from three atmospheric reanalyses: Modern Era Retrospective Analysis for Research and Applications (MERRA), Climate Forecast System Reanalysis (CFSR), European Centre for Medium-Range ...
Hurley, Allison R.
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CFSR data for air density calculations in WAsP
, 2023 This is the CFSR dataset that can be used to calculate air density for wind energy purposes using the equations presented in https://doi.org/10.3390/en12112038.
Rogier Ralph Floors (6219596)
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South American Climatology and Impacts of El Niño in NCEP’s CFSR Data [PDF]
Advances in Meteorology, 2013 Understanding regional climate variability is necessary in order to assess the impacts of climate change. Until recently, the best methods for evaluating regional climate variability were via observation networks and coarse-gridded reanalysis datasets.
Timothy Paul Eichler, Ana C. Londoño
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Remote Sensing, 2023 The Beijing Climate Center of the China Meteorological Administration (BCC/CMA) has developed a gauge-satellite-model merged gridded daily precipitation dataset with complete global coverage, called BCC Merged Estimation of Precipitation (BMEP).
Weihua Cao +3 more
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CFSR- NCEP Performance for weather data forecasting in the Pernambuco Semiarid, Brazil
DYNA, 2020 The present study aims to evaluate meteorological data -with real time actualization- from the Climate Forecast System Reanalysis (CFRS) of the National Centers for Environmental Prediction (NCEP), comparing them with data from local stations in two mesoregions: Sertão de Pernambuco (SP) and Sertão do São Francisco (SFF), semi-arid region of Pernambuco,
Marcela Daniela Mollericona Alfaro +3 more
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Applied Ocean Research, 2021 Abstract This study presents the first spatial calibration of SWAN model physical parameters based on satellite observations for the Black and Azov Seas. Currently, the wind-wave model performance is unknown in several coastal and offshore areas due to the gap in wave buoy measurements.
Amarouche, Khalid +6 more
openaire +3 more sources
Frontiers in Environmental Science, 2022 Precipitation is a vital component of the hydrologic cycle, and successful hydrological modeling largely depends on the quality of precipitation input.
Xiaohan Mei +6 more
doaj +1 more source