five

Diagnostic Precipitation Data of Antarctica

收藏
Global Change Master Directory (GCMD)2026-04-25 收录
下载链接:
https://cmr.earthdata.nasa.gov/search/concepts/C1214611890-SCIOPS.html
下载链接
链接失效反馈
官方服务:
资源简介:
In this gridded dataset, the precipitation for Antarctica from 1979-99 has been retrieved by a vertical motion calculation using ECMWF operational analyses (ECT, 1985-1999; twice daily) and reanalysis (ERA-15, 1979-1993; 4 times daily). The use of the dynamic retrieval method to calculate precipitation has been developed and verified for the Greenland ice sheet. Most major features in the spatial distribution of Antarctic accumulation are well captured by the dynamic retrieval results. In comparison with predicted precipitation amounts from ERA-15 (1979-1993), ECT (1991-1999), and National Centers for Environmental Prediction (NCEP) / Department of Energy, Atmospheric Model Intercomparison Project Version 2 reanalysis (1979-1999), dynamic retrieval calculations capture more mesoscale features of the precipitation distribution over Antarctica. In comparison to available glaciological measurements, the interannual variability of the Antarctic precipitation is well represented by the dynamic retrieval results at those measurement sites. A significant upward trend of +1.2 to +1.7 mm yr-2 is found from retrieved and forecast precipitation amounts for Antarctica that is consistent with results reported by other investigators. Twenty-two sigma levels are used in the vertical, and a 40-km grid size is used in the horizontal. The square model domain used in this study consists of 181 grid points in each orthogonal direction, centered at the South Pole, with a horizontal polar stereographic projection resolution of 40 km. The model topography data over the Antarctic continent are also interpolated from a 5-km resolution digital elevation model using bi-linear interpolation from the nearest points. This dataset, as well as references to methodology and validation, are currently available upon request from the Polar Meteorology Group, Byrd Polar Research Center, Columbus, OH. Email David Bromwich (bromwich@polarmet1.mps.ohio-state.edu).
提供机构:
SCIOPS
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作