It is well known from previous research that significant differences exist amongst reanalysis products from different institutions. Here, we compare the skill of NCEP-R (reanalyses by the National Centers for Environmental Prediction, NCEP), ERA-int (the European Centre of Medium-range Weather Forecasts Interim), JCDAS (the Japanese Meteorological Agency Climate Data Assimilation System reanaly...

The fidelity of new reanalysis datasets (MERRA, 20CR, CFSR, ERA-Interim) at representing climate variability of the 20th century has enabled significant advances in climate research. In this research proposal, we will investigate known shortcomings of these datasets, while developing a framework for a new NOAA Climate Reanalysis (NCR) system to ameliorate them. The NCR will eventually have four...

Abstract NOAA has created a global reanalysis dataset, intended primarily for initialization of reforecasts its Global Ensemble Forecast System, version 12 (GEFSv12), which provides ensemble forecasts out to +35-days lead time. The covers the period 2000–19. It assimilates most observations that were assimilated into operational data assimilation system used initializing predictions. These incl...

Peninsular Spain. Weather data are the key drivers of hydrological modelling. However, available weather can present gaps in sequences and often limited their spatial coverage for use such models as Soil Water Assessment Tool (SWAT). To overcome this limitation, SWAT includes a generator algorithm that complete based on long-term statistics. This work presents newly developed statistics dataset...

Abstract This study assessed trends in gridded (0.25° × 0.25°) Climate Forecast System Reanalysis (CFSR) precipitation, potential evapotranspiration (PET), and precipitation minus PET (PMP) across the four water management zones (WMZs) Uganda including Kyoga, Victoria, Albert, Upper Nile. The period considered was 1979–2013. Validation of CFSR datasets conducted using observed at eight meteorol...

The use of solar radiation data models is widespread in energy system analysis, however a gap exists when assessing their impact modelling large-scale thermal systems integrated district heating (DH) systems. Therefore, this study presents an analysis how using satellite-based (SARAH), reanalysis (CFSR, ERA and MERRA2) other (Danish Reference Year) affect the these Taking three DH plants Denmar...

Evaluating satellite-based products is vital for precipitation estimation sustainable water resources management. The current study evaluates the accuracy of predicting using four remotely sensed rainfall datasets—Tropical Rainfall Measuring Mission (TRMM-3B42V7), Precipitation Estimation from Remotely Sensed Information Artificial Neural Networks Climate Data Records (PERSIANN-CDR), Cloud Clas...

Gridded precipitation products are becoming good alternative data sources for regions with limited weather gauging stations. In this study, four climate gridded were utilized, namely Climate Forecast System Reanalysis (CFSR), European Centre Medium-Range Weather Forecasts (ECMWF) ERA-Interim/land, the Asian Precipitation-Highly-Resolved Observational Data Integration Towards Evaluation of Water...

[1] Sub-seasonal variability including equatorial waves significantly influence the dehydration and transport processes in the tropical tropopause layer (TTL). This study investigates the wave activity in the TTL in 7 reanalysis data sets (RAs; NCEP1, NCEP2, ERA40, ERA-Interim, JRA25, MERRA, and CFSR) and 4 chemistry climate models (CCMs; CCSRNIES, CMAM, MRI, and WACCM) using the zonal wave num...