首页> 外文期刊>Journal of hydrometeorology >The South American Land Data Assimilation System (SALDAS) 5-Yr Retrospective Atmospheric Forcing Datasets
【24h】

The South American Land Data Assimilation System (SALDAS) 5-Yr Retrospective Atmospheric Forcing Datasets

机译:南美土地数据同化系统(SALADS)五年回顾性大气强迫数据集

获取原文
获取原文并翻译 | 示例
           

摘要

The definition and derivation of a 5-yr, 0.125 degrees, 3-hourly atmospheric forcing dataset that is appropriate for use in a Land Data Assimilation System operating across South America is described. Because surface observations are limited in this region, many of the variables were taken from the South American Regional Reanalysis; however, remotely sensed data were merged with surface observations to calculate the precipitation and downward shortwave radiation fields. The quality of this dataset was evaluated against the surface observations available. There are regional differences in the biases for all variables in the dataset, with volumetric biases in precipitation of the order 0-1 mm day(-1) and RMSE of 5-15 mm day(-1), biases in surface solar radiation of the order 10 W m(-2) and RMSE of 20 W m(-2), positive biases in temperature typically between 0 and 4 K depending on the region, and positive biases in specific humidity around 2-3 g kg(-1) in tropical regions and negative biases around 1-2 g kg(-1) farther south.
机译:描述了适用于整个南美的土地数据同化系统的5年,0.125度,3小时一次的大气强迫数据集的定义和推导。由于该地区的地表观测有限,因此许多变量取自南美地区再分析研究。但是,将遥感数据与地面观测资料合并在一起,以计算降水和向下的短波辐射场。对照可用的表面观察评估了该数据集的质量。数据集中所有变量的偏差存在区域差异,降水量的体积偏差为0-1 mm day(-1),RMSE为5-15 mm day(-1),地表太阳辐射的偏差为10 W m(-2)的量级和20 W m(-2)的RMSE,温度正偏差通常在0到4 K之间(取决于区域),比湿正偏差在2-3 g kg(-1)附近)在热带地区以及更偏南的1-2 g kg(-1)附近的负偏差。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号