Results 51 to 60 of about 1,038 (200)
Conditional Diffusion Models for Global Precipitation Map Inpainting
Abstract Incomplete satellite‐based precipitation presents a significant challenge in global monitoring. For example, the Global Satellite Mapping of Precipitation (GSMaP) from the Japan Aerospace Exploration Agency (JAXA) contains regions without valid microwave observations because Low Earth orbiting (LEO) satellites cannot observe the entire globe ...
Daiko Kishikawa +2 more
wiley +1 more source
This study evaluated and intercompared seven near-real-time (NRT) versions of satellite-based precipitation products (SPPs) with latencies of less than one day, including GSMaP-NRT, GSMaP-Gauge-NRT, GSMaP-NOW, IMERG-Early, IMERG-Late, TMPA 3B42RT, and ...
Yanhong Dou +4 more
doaj +1 more source
Evaluation of GSMaP Precipitation Estimates over the Contiguous United States
Abstract Precipitation estimates from the Global Satellite Mapping of Precipitation (GSMaP) project are evaluated over the contiguous United States (CONUS) for the period of 2005–06. GSMaP combines precipitation retrievals from the Tropical Rainfall Measuring Mission satellite and other polar-orbiting satellites, and interpolates them ...
Yudong Tian +4 more
openaire +1 more source
Abstract In the WRR 50th Anniversary Special Collection, Lettenmaier et al. (2015, https://doi.org/10.1002/2015WR017616) provided a timely account of how satellite remote sensing evolved from a niche capability in hydrology into a mainstream driver of hydrologic discovery, as the community shifted from imagery toward validated Earth Observation (EO ...
Yang Hong +12 more
wiley +1 more source
Seasonal effect on spatial and temporal consistency of the new GPM-based IMERG-v5 and GSMaP-v7 satellite precipitation estimates in Brazil's central plateau region [PDF]
This study assesses the performance of the new Global Precipitation Measurement (GPM)-based satellite precipitation estimates (SPEs) datasets in the Brazilian Central Plateau and compares it with the previous Tropical Rainfall Measurement Mission (TRMM ...
Frédéric Satgé +18 more
core +1 more source
Open Research on "Advantages of GSMaP data for Multi-timescale Precipitation Estimation in ...
Wan-Ru Huang, Cheng-An Lee
core +2 more sources
Satellite-based precipitation estimates with high quality and spatial-temporal resolutions play a vital role in forcing global or regional meteorological, hydrological, and agricultural models, which are especially useful over large poorly gauged regions.
Zhen Gao +5 more
doaj +1 more source
Tropical Cyclone Intensity Change and Axisymmetricity Deduced from GSMaP
The relationship of tropical cyclone (TC) future intensity change to current intensity and current axisymmetricity deduced from hourly Global Satellite Mapping of Precipitation (GSMaP) data was investigated. Axisymmetricity is a metric that correlates positively with the magnitude of the axisymmetric component of the rainfall rate and negatively with ...
Udai Shimada +2 more
openaire +1 more source
Floods From Space: How Remote Sensing, AI, and Cloud Platforms Are Reshaping Disaster Risk Reduction
ABSTRACT Flooding remains one of the most damaging climate‐related hazards globally, yet flood remote sensing has historically developed largely along sensor‐specific pathways. This review addresses the need for a systematic and decision‐oriented synthesis of how space‐borne remote sensing has evolved toward integrated flood monitoring and disaster ...
Ricky Anak Kemarau +6 more
wiley +1 more source
Evaluasi Satellite Precipitation Product (GSMaP, CHIRPS, dan IMERG) di Kabupaten Lampung Selatan [PDF]
The availability of rainfall data is an important requirement in various activities. The limitations of observational data make the satellit precipitation product (SPPs) as an alternative.
Oktaviana, Ade Ayu +5 more
core +1 more source

