Results 41 to 50 of about 120,670 (167)
Understanding rainfall processes as the main driver of the hydrological cycle is important for formulating future water management strategies; however, rainfall data availability is challenging for countries such as Ethiopia.
Girma Berhe Adane +3 more
doaj +1 more source
AbstractThis study aims to investigate the performance of Precipitation Estimation from Remotely Sensed Information Using Artificial Neural Networks–Climate Data Record (PERSIANN-CDR) in a rainfall–runoff modeling application over the past three decades.
Hamed Ashouri +5 more
openaire +1 more source
Management of water resources under climate change is one of the most challenging tasks in many arid and semiarid regions. A major challenge in countries, such as Yemen, is the lack of sufficient and long-term climate data required to drive hydrological ...
Ali Hamoud AL-Falahi +4 more
doaj +1 more source
Monitoring water resources globally is crucial for forecasting future geo-hydro disasters across the Earth. In the present study, an attempt was made to assess the functional dimensionality of multi-satellite precipitation products, retrieved from CHIRPS,
Nitesh Awasthi +5 more
doaj +1 more source
Abstract Evaluation of satellite-based quantitative precipitation estimates (QPEs) with reliable and independent ground-based measurements is important for both product developers and users. Here, we present a comprehensive evaluation on 3 high-resolution QPEs, namely, the Climate Hazards Group InfraRed Precipitation with Stations (CHIRPS), the ...
Yuefen Zhang +6 more
openaire +1 more source
Satellite precipitation estimates are used as an alternative or as a supplement to the records of the in situ stations. Although some satellite precipitation products have reasonably consistent time series, they are often limited to specific geographic ...
Ana Carolina Freitas Xavier +4 more
doaj +1 more source
The CHRS Data Portal, an easily accessible public repository for PERSIANN global satellite precipitation data. [PDF]
The Center for Hydrometeorology and Remote Sensing (CHRS) has created the CHRS Data Portal to facilitate easy access to the three open data licensed satellite-based precipitation datasets generated by our Precipitation Estimation from Remotely Sensed ...
Nguyen P +12 more
europepmc +2 more sources
In the last few years, satellite-based precipitation datasets are believed to be a potential source for forcing inputs in driving hydrological models, which are important especially in complex terrain areas or ungauged basins where ground gauges are ...
Alaa Alden Alazzy +5 more
doaj +1 more source
Abstract Past evaluation of artificial intelligence (AI) weather prediction has primarily relied on reanalyses, which can obscure important deficiencies due to prevailing biases in reanalyses themselves. Here, we present MAUSAM (Measuring AI Uncertainty during South Asian Monsoon), an evaluation of seven leading AI‐based prediction systems—FourCastNet,
Aman Gupta, Aditi Sheshadri, Dhruv Suri
wiley +1 more source
The World Meteorological Organization stipulates a minimum of 30 years of historical data is needed to obtain meaningful results in climatological research.
Z. Q. Ma +7 more
doaj +1 more source

