Results 1 to 10 of about 607 (118)
Remote Sensing, 2020 The spatial and temporal scale of rainfall datasets is crucial in modeling hydrological processes. Recently, open-access satellite precipitation products with improved resolution have evolved as a potential alternative to sparsely distributed ground ...
Javier Senent-Aparicio +2 more
exaly +3 more sources
Symptoms and pathogens diversity of Corn Fusarium sheath rot in Sichuan Province, China [PDF]
Scientific Reports, 2021 To elucidate the symptoms and pathogens diversity of corn Fusarium sheath rot (CFSR), diseased samples were collected from 21 county-level regions in 12 prefecture-level districts of Sichuan Province from 2015 to 2018 in the present study.
Wei Wang +7 more
doaj +2 more sources
EVALUATING HYDROLOGIC MODEL PERFORMANCE OF GLOBAL AND LOCAL WEATHER DATA INPUTS [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2021 Runoffs from hydrologic models are often used in flood models, among other applications. These runoffs are converted from rainfall, signifying the importance of weather data accuracy. A common challenge for modelers is local weather data sparsity in most
J. Serrano +4 more
doaj +1 more source
Journal of Water and Climate Change, 2022 The spatial and temporal availability and reliability of hydrological data are substantial contributions to the accuracy of watershed modeling; unfortunately, such data requirements are challenging and perhaps impossible in many regions of the world.
T. Trinh +6 more
doaj +1 more source
Journal of Water and Climate Change, 2022 Several satellite-based and reanalysis products with a high spatial and temporal resolution have become available in recent decades, making it worthwhile to study the performance of multiple precipitation forcing data on hydrological modeling. This study
Jamal Hassan Ougahi, Syed Amer Mahmood
doaj +1 more source
Journal of Water and Climate Change, 2021 The high-resolution Climate Forecast System Reanalysis (CFSR) data have recently become an alternative input for hydrological models in data-sparse regions.
Minh Tuan Bui, Jinmei Lu, Linmei Nie
doaj +1 more source
Kuwait Journal of Science, 2023 In most developing countries, networks of gauge observations are frequently sparse and may have significant spatial and temporal gaps in the meteorological records.
Omeed Al-Kakey +3 more
doaj +1 more source
Atmosphere, 2021 In this study, the applicability of three gridded datasets was evaluated (Climatic Research Unit (CRU) Time Series (TS) 3.1, “Asian Precipitation—Highly Resolved Observational Data Integration Toward the Evaluation of Water Resources” (APHRODITE)_V1101 ...
Aminjon Gulakhmadov +7 more
doaj +1 more source
Comparing CFSR and conventional weather data for discharge and soil loss modelling with SWAT in small catchments in the Ethiopian Highlands [PDF]
Hydrology and Earth System Sciences, 2016 Accurate rainfall data are the key input parameter for modelling river discharge and soil loss. Remote areas of Ethiopia often lack adequate precipitation data and where these data are available, there might be substantial temporal or spatial gaps.
V. Roth, T. Lemann
doaj +1 more source
Comparison of rainfall estimations by TRMM 3B42, MPEG and CFSR with ground-observed data for the Lake Tana basin in Ethiopia [PDF]
Hydrology and Earth System Sciences, 2014 Planning for drought relief and floods in developing countries is greatly hampered by the lack of a sufficiently dense network of weather stations measuring precipitation.
A. W. Worqlul +5 more
doaj +1 more source