[HTML][HTML] TPHiPr: a long-term (1979–2020) high-accuracy precipitation dataset (, daily) for the Third Pole region based on high-resolution atmospheric modeling …
Reliable precipitation data are highly necessary for geoscience research in the Third Pole
(TP) region but still lacking, due to the complex terrain and high spatial variability of …
(TP) region but still lacking, due to the complex terrain and high spatial variability of …
Merging multiple satellite-based precipitation products and gauge observations using a novel double machine learning approach
This study proposed a novel double machine learning (DML) approach to merge multiple
satellite-based precipitation products (SPPs) and gauge observations, and tested its …
satellite-based precipitation products (SPPs) and gauge observations, and tested its …
[HTML][HTML] 数据驱动的多源遥感信息融合研究进展
张良培， 何江， 杨倩倩， 肖屹， 袁强强 - 2022 - xb.chinasmp.com
多源遥感信息融合技术是突破单一传感器的观测局限, 实现多平台多模态观测信息互补利用,
生成大场景高“时-空-谱” 无缝的观测数据的重要手段. 随着人工智能理论与技术的日益完善 …
生成大场景高“时-空-谱” 无缝的观测数据的重要手段. 随着人工智能理论与技术的日益完善 …
[HTML][HTML] Himawari-8-derived diurnal variations in ground-level pollution across China using the fast space-time Light Gradient Boosting Machine (LightGBM)
Fine particulate matter with a diameter of less than 2.5 µ m (PM 2.5) has been used as an
important atmospheric environmental parameter mainly because of its impact on human …
important atmospheric environmental parameter mainly because of its impact on human …
[HTML][HTML] Bias correction of global high-resolution precipitation climatologies using streamflow observations from 9372 catchments
Bias Correction of Global High-Resolution Precipitation Climatologies Using Streamflow
Observations from 9372 Catchments in: Journal of Climate Volume 33 Issue 4 (2020) Jump …
Observations from 9372 Catchments in: Journal of Climate Volume 33 Issue 4 (2020) Jump …
Propagation characteristics and mechanism from meteorological to agricultural drought in various seasons
M Dai, S Huang, Q Huang, X Zheng, X Su, G Leng… - Journal of …, 2022 - Elsevier
Agricultural drought poses a serious threat to national food security, and the investigation on
the propagation from meteorological to agricultural drought plays an important role in …
the propagation from meteorological to agricultural drought plays an important role in …
[HTML][HTML] Easy-to-use spatial random-forest-based downscaling-calibration method for producing precipitation data with high resolution and high accuracy
C Chen, B Hu, Y Li - Hydrology and Earth System Sciences, 2021 - hess.copernicus.org
Precipitation data with high resolution and high accuracy are significantly important in
numerous hydrological applications. To enhance the spatial resolution and accuracy of …
numerous hydrological applications. To enhance the spatial resolution and accuracy of …
A deep learning-based framework for multi-source precipitation fusion
Accurate quantitative precipitation estimation (QPE) is essential for various applications,
including land surface modeling, flood forecasting, drought monitoring and prediction. In situ …
including land surface modeling, flood forecasting, drought monitoring and prediction. In situ …
Stacking machine learning models versus a locally weighted linear model to generate high-resolution monthly precipitation over a topographically complex area
This study applied a stacked generalization ensemble approach to generate high-resolution
precipitation estimates and compared its performance with an optimized local weighted …
precipitation estimates and compared its performance with an optimized local weighted …
Spatio-temporal assessment of Gridded precipitation products across topographic and climatic gradients in Colombia
Gridded precipitation products (GPPs) represent an alternative to and a complement to
gauge-based observations of precipitation, improving the representation of spatio-temporal …
gauge-based observations of precipitation, improving the representation of spatio-temporal …