we spatially averaged the grid-cell time series within the catchment boundaries. This process was conducted for each variable and climate change scenario. Given the continental extensions of Brazil, the country shows a large range of catchment areas. Thus, for some ...
We present a self-consistent, large ensemble, high-resolution global dataset of long‐term future climate, which accounts for the uncertainty in climate system response to anthropogenic emissions of greenhouse gases and in geographical patterns of climate change. The dataset is...
aEstimation of large intermountain depression river runoff response to global climate warming 大intermountain消沉河决赛反应的估计对全球性气候温暖的[translate] aA new dataset for systematic assessments of climate change impacts as a function of global warming 新的数据集为对气候变化冲击的系统的评估作为全球...
The dataset can accurately represent historically observed temperature, precipitation, and extreme climate events, and be further used for climate prediction and climate change research. The FGOALS-g3 model and the simulation dataset were developed by the Institute of Atmospheric Physics of the CAS. Th...
spatiotemporally continuous runoff records are necessary for identifying climate change impacts and planning effective water management strategies. Existing Chinese runoff data to date have been produced from sparse, poor-quality gauge measurements at differ-ent time scales. We have developed a new, quali...
Then detection and identification of extreme weather events in large-scale climate simulations is an important problem for risk management, informing governmental policy decisions and advancing our basic understanding of the climate system. Recent work has shown that fully supervised convolutional neural net...
CLIMATE changeHYDROGENNITROGENWe present a continuous land-based climate reconstruction dataset extending back 60 kyr from 0 BP (1950) at 0.5° resolution on a monthly timestep for 0°N to 90°N. It has been generated from 42 discrete snapshot simulations using the HadCM3B-M2.1 coupled ...
@article{zantedeschi2019cumulo, title={Cumulo: A Dataset for Learning Cloud Classes}, author={Zantedeschi, Valentina and Falasca, Fabrizio and Douglas, Alyson and Strange, Richard and Kusner, Matt J and Watson-Parris, Duncan}, journal={Tackling Climate Change with Machine Learning Workshop, Neu...
Climate Science for Service Partnership (CSSP) China as part of the Newton Fund, and the Jiangsu Collaborative Innovation Center for Climate Change. We sincerely thank the ERA5 and ERA5-Land reanalysis data from the Copernicus Climate Change Service (C3S) Climate Data Store athttps://cds....
Based on the reanalysis dataset ERA40 of European Center of Medium Range Weather Forcast (ECMWF), winter climate change and characteristics of sea ice-atmo... 刘喜迎 - 《极地研究:英文版》 被引量: 0发表: 2006年 A New Sea Surface Temperature and Sea Ice Boundary Dataset for the Community At...