Results 91 to 100 of about 1,454 (169)
, 2023 Studi ini dilakukan untuk mengetahui bagaimana korelasi antara data hujan BMKG dengan data satelit PERSIANN-CDR & TRMM 3B42 pada stasiun Waikabubak dan Kabukarudi periode tahun 2009-2019.
TUPAMAHU, James Isac
core
Bias Correction Methods Applied to Satellite Rainfall Products over the Western Part of Saudi Arabia
AtmosphereAccurate rainfall data with good spatial–temporal distribution remain a challenge worldwide, particularly in arid regions such as western Saudi Arabia, where variability critically influences water resource management and flood mitigation.
Ibrahim H. Elsebaie +3 more
doaj +1 more source
Environmental Research: ClimateAbstract The satellite precipitation products provide a reliable alternative data source for real-time drought monitoring in developing countries. Therefore, it is important to quantify the excellent satellite precipitation products for drought estimation.
Priyanko Das +3 more
openaire +2 more sources
Validation of Satellite-Based PERSIANN Rainfall Estimates Using Surface-Based APHRODITE Data over Iran [PDF]
, 2015 : Surface-based precipitation measurements with high accuracy on different spatial-temporal scales have a crucial importance in different land-use planning sectors, especially in arid and semi-arid regions, such as Iran.
Javad Bodagh Jamli
core
Revista de Geociências do NordesteThis study investigates the performance and limitations of the PERSIANN-CDR precipitation estimates dataset in comparison to strategically selected rain gauge stations within the São Francisco River Basin. The study covers the period from January 1989 to December 2018. The results reveal distinct patterns in the performance of PERSIANN-CDR.
Erick Venicius Schinke Vasconcelos de Oliveira +3 more
openaire +1 more source
, 2023 PERSIANN (Precipitation Estimation from Remotely Sensed Information Using Artifical Neural Networks) merupakan data curah hujan berbasi satelit yang dikembangkan oleh center for hudrometeorology and remote sensing (CHRS) Universitas Arizona dengan ...
Dr. Ir. Hari Siswoyo,, ST., MT. +2 more
core
Precipitation Rate Estimates from Satellite Infrared Imagery: A New PERSIANN Model [PDF]
Bulletin of the American Meteorological Society, 2020 Phu Nguyen +7 more
openaire +1 more source
Challenges in Producing a Near-Global, High-Resolution Precipitation Climate Record Using Satellite-Based Data: The Case Study of PERSIANN CCS-CDR [PDF]
PERSIANN CCS-CDR is an almost global precipitation dataset with high spatial and temporal resolutions and a long period of record. However, producing such a dataset proved to be a challenging task, mostly due to the unavailability of a suitable dataset ...
BOLBOLI ZADEH, MOHAMMAD
core
Evaluación de la aplicabilidad del producto PERSIANN-CDR para la caracterización de sequía meteorológica en la cuenca del lago Titicaca [PDF]
La cuenca del lago Titicaca (CLT) experimenta un fenómeno de sequía recurrente. Sin embargo, es necesario evaluar la estimación de la precipitación a partir de información de detección remota utilizando redes neuronales artificiales: registro de datos ...
Juli Candia, Raul
core
Optimal selection of daily satellite precipitation product based on structural similarity index at 1 km resolution for the Pra catchment, Ghana. [PDF]
Sci Rep, 2023 Gyasi-Agyei Y +4 more
europepmc +1 more source