introduction daily weather information is currently available for about 40000 stations across the world. but, distribution of these stations is relatively uneven in some parts of the world. moreover, there are often large amounts of missing values (schuol andabbaspour, 2007: 301). using generated data can help fill missing or even to correct erroneously measured data (fodor et al., 2010: 91). l...

As the Integrated MultisatellitE Retrievals for- Global Precipitation Measurement (GPM) (IMERG) products are expected to be available at least until mid-2030, it is highly desired that an extensive spatio-temporal comparison of IMERG done in-situ level have guidance on potential usage, especially for hydro-climatic applications in data-scarce conditions. For reference, we selected widely popula...

A better understanding of multiscale interactions within the Madden–Julian oscillation (MJO), including momentum exchanges, is critical for improved MJO prediction skill. In this study, convective momentum transport (CMT) associatedwith theMJO is analyzed based on theNOAAClimate Forecast SystemReanalysis (CFSR). A three-layer vertical structure associated with the MJO, as previously suggested i...

Abstract Thus far, reanalysis-based meteorological products have drawn little attention to the influence of elements on hydrological modeling. This study aims evaluate application potential precipitation, temperature, and solar radiation China Meteorological Assimilation Driving Datasets for Soil Water Assessment Tool (SWAT) model (CMADS) Climate Forecast System Reanalysis (CFSR) in an alpine b...

This study evaluates the temporal variability of the Antarctic surface mass balance, approximated as precipitation minus evaporation (P 2 E), and Southern Ocean precipitation in five global reanalyses during 1989–2009. The datasets consist of the NCEP/U.S. Department of Energy (DOE) Atmospheric Model Intercomparison Project 2 reanalysis (NCEP-2), the Japan Meteorological Agency (JMA) 25-year Re...

Atmospheric reanalyses depend on a mix of observations and model forecasts. In data-sparse regions such as the Arctic, the reanalysis solution is more dependent on the model structure, assumptions, and data assimilation methods than in data-rich regions. Applications such as the forcing of ice–ocean models are sensitive to the errors in reanalyses. Seven reanalysis datasets for the Arctic regio...

Abstract In this study, sea ice concentration (SIC) budgets were calculated for five ocean-sea reanalyses (CFSR, C-GLORSv7, GLORYS12v1, NEMO-EnKF and ORAS5), in the Southern Ocean compared with observations. Benefiting from assimilation of SIC, reanalysis products display a realistic representation extent as well area. However, when applying SIC budget diagnostics to decompose changes into cont...

To improve knowledge of this matter, the potential application two gridded meteorological products (GMPs), China Meteorological Assimilation Driving Datasets for SWAT model (CMADS) and Climate Forecast System Reanalysis (CFSR), are compared first time with data from ground-based stations over 6 years, 2008 to 2013, Cau River basin (CRB), northern Vietnam. Statistical indicators Soil Water Asses...

In the study, performance of MIKE 21 SW (Spectral Wave) model using three different wind fields, namely ERA-Interim, ERA5, and CFSR was evaluated in Eastern Mediterranean Sea. Model results were calibrated with four buoy measurements by tuning physical parameters. Wave simulations showed a strong sensitivity to whitecapping parameter (Cds). Calibrated run validate at two measurements. Consideri...