IMDLIB: An open-source library for retrieval, processing and spatiotemporal exploratory assessments of gridded meteorological observation datasets over India
Addressing a pressing need for streamlined access to observed meteorological data in
India, we present IMDLIB, an open-source Python library that operates on gridded datasets …
India, we present IMDLIB, an open-source Python library that operates on gridded datasets …
A 4 km daily gridded meteorological dataset for China from 2000 to 2020
J Zhang, B Liu, S Ren, W Han, Y Ding, S Peng - Scientific Data, 2024 - nature.com
Multi-variate gridded meteorological data with high spatial resolution play a key role in
studies related to climate change. This study constructed a 4 km daily gridded …
studies related to climate change. This study constructed a 4 km daily gridded …
Climatic and anthropogenic impacts on the water balance of Issyk-Kul Lake through its main catchments
Lake Issyk-Kul is an endorheic lake in arid Central Asia that is vital to the region's ecological
sustainability and socio-economic development. Climate change and anthropogenic water …
sustainability and socio-economic development. Climate change and anthropogenic water …
Satellite precipitation bias estimation and correction using in situ observations and climatology isohyets for the MENA region
The availability of reliable gridded precipitation datasets is limited around the world,
especially in arid regions. In this study, we utilized observations from satellite-based …
especially in arid regions. In this study, we utilized observations from satellite-based …
Geo-Environment Vulnerability Assessment of Multiple Geohazards Using VWT-AHP: A Case Study of the Pearl River Delta, China
P Huang, X Wu, C Ma, A Zhou - Remote Sensing, 2023 - mdpi.com
Geohazards pose significant risks to communities and infrastructure, emphasizing the need
for accurate susceptibility assessments to guide land-use planning and hazard …
for accurate susceptibility assessments to guide land-use planning and hazard …
Improve Precipitation Zoning Accuracy by Applying Ensemble Learning Models Based on Interpolation and Data Mining Integration
Precipitation is a crucial and variable meteorological phenomenon, widely used in various
models, including rainfall-runoff models, and the accuracy of its spatial estimation …
models, including rainfall-runoff models, and the accuracy of its spatial estimation …
Comparing Remote Sensing and Geostatistical Techniques in Filling Gaps in Rain Gauge Records and Generating Multi-Return Period Isohyetal Maps in Arid …
Arid regions are susceptible to flash floods and severe drought periods, therefore there is a
need for accurate and gap-free rainfall data for the design of flood mitigation measures and …
need for accurate and gap-free rainfall data for the design of flood mitigation measures and …
A multimethod interpolation approach for map** the spatial distribution of rainfall in southwest Iberian Peninsula
Eight spatial interpolation models were used to map the spatial distribution of precipitation in
the southwestern sector of the Iberian Peninsula (22330 km2) over 40 years (1980/1981 …
the southwestern sector of the Iberian Peninsula (22330 km2) over 40 years (1980/1981 …
Spatial pattern of bias in areal rainfall estimations and its impact on hydrological modeling: a comparative analysis of estimating areal rainfall based on radar and …
Areal rainfall is routinely estimated based on the observed rainfall data using distributed
point rainfall gauges. However, the data collected are sparse and cannot represent the …
point rainfall gauges. However, the data collected are sparse and cannot represent the …
Remote sensing-based spatio-temporal rainfall variability analysis: the case of Addis Ababa City, Ethiopia
Climate variability is a highly debated and unavoidable global environmental challenge that
has adverse effects on Ethiopia, a develo** country. Hence, the objective of this research …
has adverse effects on Ethiopia, a develo** country. Hence, the objective of this research …