Results 21 to 30 of about 339 (156)

Performance Assessment of Chirps, Persiann – CDR, IMERG, and TMPA Precipitation Products across Nepal

Journal of Advanced College of Engineering and Management, 2023
The observation of hydrological as well as meteorological data is very essential for any kind of hydraulic and hydrological study. In Nepal, due to the significant variation of topography and climatic characteristics as well it is necessary to establish the meteorological stations densely, here only 231 meteorological stations are available and are ...
Suraj Lamichhane, Nitesh Sharma, Nirajan Devkota   +2 more
openaire   +1 more source

Assessment of TMPA 3B42V7 and PERSIANN-CDR in Driving Hydrological Modeling in a Semi-Humid Watershed in Northeastern China [PDF]

Remote Sensing, 2020
Recent developments of satellite precipitation products provide an unprecedented opportunity for better precipitation estimation, and thus broaden hydrological application. However, due to the errors and uncertainties of satellite products, a thorough validation is usually required before putting into the real hydrological application.
Zhang, Lu, Xin, Zhuohang, Zhou, Huicheng
openaire   +3 more sources

Intercomparison of PERSIANN-CDR and TRMM-3B42V7 precipitation estimates at monthly and daily time scales [PDF]

Atmospheric Research, 2017
Abstract In the first part of this paper, monthly precipitation data from Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks–Climate Data Record (PERSIANN-CDR) and Tropical Rainfall Measuring Mission 3B42 algorithm Version 7 (TRMM-3B42V7) are evaluated over Iran using the Generalized Three-Cornered Hat (GTCH ...
Katiraie-Boroujerdy, Pari-Sima, Asanjan, Ata Akbari, Hsu, Kuo-lin, Sorooshian, Soroosh   +3 more
openaire   +3 more sources

Passive Acoustic Monitoring and Deep Learning Reveal a Lag From Rainfall to Gibbon Song Across a Mosaic Forest Landscape. [PDF]

Ecol Evol
We deployed passive acoustic monitoring across three forest types in Central Kalimantan, Indonesia, and applied a pretrained deep learning automated detector to identify 83,956 Bornean white‐bearded gibbon (Hylobates albibarbis) great call vocalisations over 18 months.
Owens AF, Estrada E, Hockings KJ, Imron MA, Mariaty, Sharma MD, Maimunah S, Travers-Cook TJ, Van Veen FJF, Erb WM.   +9 more
europepmc   +2 more sources

Evaluation of CMIP5 Model Precipitation Using PERSIANN-CDR

Journal of Hydrometeorology, 2017
Abstract The purpose of this study is to use the PERSIANN–Climate Data Record (PERSIANN-CDR) dataset to evaluate the ability of 32 CMIP5 models in capturing the behavior of daily extreme precipitation estimates globally. The daily long-term historical global PERSIANN-CDR allows for a global investigation of eight precipitation indices ...
Xiaogang Gao, KuoLin Hsu, Chiyuan Miao, Hamed Ashouri, Hoang Tran, Qian Zhu, Soroosh Sorooshian, Andrea Thorstensen, Phu Nguyen   +8 more
openaire   +1 more source

Performance of the PERSIANN Family of Products over the Mekong River Basin and Their Application for the Analysis of Trends in Extreme Precipitation Indices

Atmosphere, 2023
Near-real-time satellite precipitation estimation is indispensable in areas where ground-based measurements are not available. In this study, an evaluation of two near-real-time products from the Center for Hydrometeorology and Remote Sensing at the ...
Claudia Jimenez Arellano, Vu Dao, Vesta Afzali Gorooh, Raied Saad Alharbi, Phu Nguyen   +4 more
doaj   +1 more source

Trends of precipitation extreme indices over a subtropical semi-arid area using PERSIANN-CDR [PDF]

Theoretical and Applied Climatology, 2016
In this study, satellite-based daily precipitation estimation data from precipitation estimation from remotely sensed information using artificial neural networks (PERSIANN)-climate data record (CDR) are being evaluated in Iran. This dataset (0.25°, daily), which covers over three decades of continuous observation beginning in 1983, is evaluated using ...
Katiraie-Boroujerdy, Pari-Sima, Ashouri, Hamed, Hsu, Kuo-lin, Sorooshian, Soroosh   +3 more
openaire   +3 more sources

Performance of Seven Gridded Precipitation Products over Arid Central Asia and Subregions

Remote Sensing, 2022
The evaluation of gridded precipitation products is important for the region where meteorological stations are scarce. To find out the applicable gridded precipitation products in arid Central Asia (ACA) for better follow-up research, this paper ...
Lingling Song, Changchun Xu, Yunxia Long, Xiaoni Lei, Nanji Suo, Linlin Cao   +5 more
doaj   +1 more source

Evaluating the Accuracy of Precipitation Products Over Utah, United States, Using the Google Earth Engine Platform [PDF]

Desert, 2023
Satellite-based precipitation missions can be used to estimate precipitation distribution, especially in areas where there are no rain gauging stations. Nevertheless, these products are still less used because of the lack of accuracy evaluation.
H. Shokati, M. Mashal, A.A Noroozi, S. Mirzaei   +3 more
doaj   +1 more source

Evaluating the accuracy of two satellite-based Quantitative Precipitation Estimation products and their application for meteorological drought monitoring over the Lake Victoria Basin, East Africa

Geo-spatial Information Science, 2022
This study evaluates the high-resolution satellite estimated long-term precipitation data for monitoring the drought condition over the Lake Victoria Basin (LVB) from 1984 to 2020.
Priyanko Das, Zhenke Zhang, Hang Ren
doaj   +1 more source