干旱区生态环境知识资源中心(Arid): 陆面同化及再分析降水资料在内蒙古地区的适用性

Arid

	陆面同化及再分析降水资料在内蒙古地区的适用性
其他题名	Validation of land data assimilation and reanalysis precipitation datasets over Inner Mongolia
	宋海清; 朱仲元; 李云鹏
来源期刊	干旱区研究
ISSN	1001-4675
出版年	2021
卷号	38 期号:6 页码:1624-1636
中文摘要	利用19822018年内蒙古地区115个气象站点的月降水观测资料评估了FLDAS、ERA5、CRA40/Land和GLDAS 4种陆面同化及再分析降水资料在内蒙古地区的可靠性。结果表明:(1)4种降水资料均能较好地表征降水量在内蒙古地区从东北向西部递减和冬季降水少、夏季降水多的时空变化特征。(2)相关系数、绝对平均误差、均方根误差和纳什效率系数的计算结果表明,4种降水资料在夏季表现最优、冬季表现最差,在东部半湿润区和半干旱区好于西部干旱区和极干旱区。(3)ERA5资料在绝大多数时间对内蒙古的降水有高估现象,GLDAS却对降水存在低估,尤其是在冬季,GLDAS对固态降水几乎没有观测能力,而新发布的FLDAS资料表现较好。总体来看,相对于ERA5和GLDAS,FLDAS和CRA40/Land降水资料与观测值之间的差别最低,有着最优的统计特征。
英文摘要	Monthly precipitation data observed at 115 weather stations in Inner Mongolia during 1982-2018 was compared with land data assimilation and reanalysis precipitation datasets [Famine Early Warning Systems Network (FEWS NET) Land Data Assimilation System (FLDAS), the Fifth Generation of ECMWF Reanalysis (ERA5), China Meteorological Administration, Global Land surface Reanalysis (CRA40/Land), and Global Land Data Assimilation System (GLDAS)]. The reliability of the four precipitation datasets was analyzed and accuracy of monthly variation was also evaluated. The results showed that the four precipitation datasets captured features of precipitation distribution. Precipitation levels decreased from the northeast to west and were lower in winter and higher in summer. By analyzing correlation coefficients, mean absolute errors, mean bias errors, root mean square errors, and Nash-Sutcliffe efficiency coefficients, the four precipitation datasets showed the best performance in summer and the worst performance in winter, and better values in eastern semi-humid and semiarid areas than western arid and extremely arid areas. Compared with ERA5 and GLDAS, FLDAS, and CRA40/Land showed the lowest differences from observed values and the best statistical characteristics. ERA5 data mostly overestimated precipitation in Inner Mongolia during most of the study period, while GLDAS underestimated it. Particularly in winter, GLDAS showed almost no observation capability for snow precipitation, while the newly released FLDAS data performed better. Overall, FLDAS and CRA40/Land precipitation datasets performed best with better statistical power.
中文关键词	降水 ; 陆面同化资料 ; 再分析资料 ; 适用性
英文关键词	precipitation land assimilation data reanalysis data applicability
类型	Article
语种	中文
收录类别	CSCD
WOS类目	Meteorology & Atmospheric Sciences
CSCD记录号	CSCD:7095389
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/377676
作者单位	宋海清, 内蒙古农业大学水利与土木建筑工程学院;;内蒙古自治区生态与农业气象中心, ;;, 呼和浩特;;呼和浩特, 内蒙古;;内蒙古 010018;;010051, 中国.; 朱仲元, 内蒙古农业大学水利与土木建筑工程学院, 呼和浩特, 内蒙古 010018, 中国.; 李云鹏, 内蒙古自治区生态与农业气象中心, 呼和浩特, 内蒙古 010051, 中国.
推荐引用方式 GB/T 7714	宋海清,朱仲元,李云鹏. 陆面同化及再分析降水资料在内蒙古地区的适用性[J],2021,38(6):1624-1636.
APA	宋海清,朱仲元,&李云鹏.(2021).陆面同化及再分析降水资料在内蒙古地区的适用性.干旱区研究,38(6),1624-1636.
MLA	宋海清,et al."陆面同化及再分析降水资料在内蒙古地区的适用性".干旱区研究 38.6(2021):1624-1636.