{"id":100619,"date":"2026-09-04T23:00:57","date_gmt":"2026-09-04T15:00:57","guid":{"rendered":"https:\/\/www.wsisp.com\/helps\/100619.html"},"modified":"2026-09-04T23:00:57","modified_gmt":"2026-09-04T15:00:57","slug":"lba-hmet-pc-06-ecmwf-%e6%a8%a1%e6%8b%9f%e9%99%8d%e6%b0%b4%e5%92%8c%e5%9c%b0%e8%a1%a8%e9%80%9a%e9%87%8f%ef%bc%8c%e5%b7%b4%e8%a5%bf%e6%9c%97%e5%a4%9a%e5%b0%bc%e4%ba%9a%e5%b7%9e%ef%bc%9a1999-%e5%b9%b4","status":"publish","type":"post","link":"https:\/\/www.wsisp.com\/helps\/100619.html","title":{"rendered":"LBA-HMET PC-06 ECMWF \u6a21\u62df\u964d\u6c34\u548c\u5730\u8868\u901a\u91cf\uff0c\u5df4\u897f\u6717\u591a\u5c3c\u4e9a\u5dde\uff1a1999 \u5e74"},"content":{"rendered":"

LBA-HMET PC-06 ECMWF Modeled Precipitation and Surface Flux, Rondonia, Brazil: 1999<\/p>\n

\u7b80\u4ecb<\/h2>\n

\u8be5\u6570\u636e\u96c6\u63d0\u4f9b\u4e86\u6b27\u6d32\u4e2d\u671f\u5929\u6c14\u9884\u62a5\u4e2d\u5fc3 (ECMWF) \u6a21\u578b\u77ed\u671f\u9884\u62a5\u751f\u6210\u7684\u964d\u6c34\u3001\u8fd1\u5730\u8868\u70ed\u529b\u5b66\u548c\u5730\u8868\u901a\u91cf\u7684\u5e73\u5747\u65e5\u53d8\u5316\u5468\u671f\u3002<\/span><\/span> \u6a21\u578b\u8f93\u51fa\u4e3a 12 \u81f3 36 \u5c0f\u65f6\u7684\u77ed\u671f\u9884\u62a5，\u91c7\u7528 T319 \u4e09\u89d2\u622a\u65ad\u6cd5，\u5782\u76f4\u5206\u8fa8\u7387\u4e3a 60 \u5c42，\u6bcf\u65e5 12:00（UTC）\u5206\u6790\u6570\u636e\u3002\u7528\u4e8e\u751f\u6210\u6b64\u6570\u636e\u4ea7\u54c1\u7684\u9884\u62a5\u6a21\u578b\u7248\u672c\u4e3a 2000 \u5e74\u79cb\u5b63\u7684 ECMWF \u4e1a\u52a1\u6a21\u578b，\u8be5\u6a21\u578b\u5305\u542b\u74e6\u7247\u5f0f\u9646\u9762\u65b9\u6848（TESSEL）（Van den Hurk \u7b49，2000）\u4ee5\u53ca Gregory \u7b49（2000）\u63cf\u8ff0\u7684\u5bf9\u6d41\u3001\u8f90\u5c04\u548c\u4e91\u65b9\u6848\u7684\u6700\u65b0\u4fee\u8ba2\u3002<\/span><\/span> \u6b27\u6d32\u4e2d\u671f\u5929\u6c14\u9884\u62a5\u4e2d\u5fc3（ECMWF）\u6a21\u578b\u7528\u4e8e\u6a21\u62df 1999 \u5e74 1 \u6708\u81f3 2 \u6708\u5728\u5df4\u897f\u6717\u591a\u5c3c\u4e9a\u5dde\u5f00\u5c55\u7684\u4e24\u9879\u4e9a\u9a6c\u900a\u5927\u89c4\u6a21\u751f\u7269\u5708-\u5927\u6c14\u5b9e\u9a8c（LBA）：\u6e7f\u5b63\u5927\u6c14\u4e2d\u5c3a\u5ea6\u5b9e\u9a8c（WETAMC）\u548c\u70ed\u5e26\u964d\u96e8\u6d4b\u91cf\u4efb\u52a1（TRMM）\u3002\u6709\u5173 WETAMC \u548c TRMM \u5b9e\u9a8c\u7684\u66f4\u591a\u4fe1\u606f，\u8bf7\u53c2\u9605 Silva Dias \u7b49\u4eba（2002）\u7684\u6587\u732e\u3002<\/span><\/span> \u8be5\u6570\u636e\u96c6\u5305\u542b\u4e24\u4e2a\u4ee5\u9017\u53f7\u5206\u9694\u7684\u6570\u636e\u6587\u4ef6：ECMWF \u6a21\u578b\u8f93\u51fa\u6570\u636e\u548c\u4e00\u4e2a\u5305\u542b\u5e73\u5747\u6bcf\u5c0f\u65f6\u964d\u6c34\u89c2\u6d4b\u6570\u636e\u7684\u6587\u4ef6，\u7528\u4e8e\u68c0\u67e5\u6a21\u578b\u8f93\u51fa\u662f\u5426\u5b58\u5728\u504f\u5dee\u3002<\/span><\/span><\/p>\n

\"\"<\/p>\n

\u6458\u8981<\/h3>\n

\"\"<\/p>\n

\u4ee3\u7801<\/h2>\n

!pip install leafmap
\n!pip install pandas
\n!pip install folium
\n!pip install matplotlib
\n!pip install mapclassify<\/p>\n

import pandas as pd
\nimport leafmap<\/p>\n

url = "https:\/\/github.com\/opengeos\/NASA-Earth-Data\/raw\/main\/nasa_earth_data.tsv"
\ndf = pd.read_csv(url, sep="\\\\t")
\ndf<\/p>\n

leafmap.nasa_data_login()<\/p>\n

results, gdf = leafmap.nasa_data_search(
\n short_name="PC06_ECMWF_LBA_1141",
\n cloud_hosted=True,
\n bounding_box=(-165.68, 34.59, -98.1, 71.28),
\n temporal=("2017-07-20", "2017-08-08"),
\n count=-1, # use -1 to return all datasets
\n return_gdf=True,
\n)<\/p>\n

gdf.explore()<\/p>\n

#leafmap.nasa_data_download(results[:5], out_dir="data") <\/p>\n

\u7f51\u5740\u63a8\u8350<\/h3>\n

<\/h3>\n

\u4e2a\u4eba\u4e3b\u9875<\/h3>\n

https:\/\/sites.google.com\/view\/xingguang\/main<\/p>\n

<\/h3>\n

\u77e5\u8bc6\u661f\u7403<\/h3>\n

\u77e5\u8bc6\u661f\u7403 | \u6df1\u5ea6\u8fde\u63a5\u94c1\u6746\u7c89\u4e1d，\u8fd0\u8425\u9ad8\u54c1\u8d28\u793e\u7fa4，\u77e5\u8bc6\u53d8\u73b0\u7684\u5de5\u5177 (zsxq.com)<\/span>https:\/\/wx.zsxq.com\/group\/48888525452428<\/span><\/span><\/p>\n

\u673a\u5668\u5b66\u4e60<\/h3>\n

https:\/\/www.cbedai.net\/xg\u00a0<\/p>\n

\u5e72\u65f1\u76d1\u6d4b\u5e73\u53f0<\/h2>\n

\u6167\u5929\u5e72\u65f1\u76d1\u6d4b\u4e0e\u9884\u8b66-\u9996\u9875<\/span>https:\/\/www.htdrought.com\/<\/span><\/span><\/p><\/p>\n","protected":false},"excerpt":{"rendered":"

LBA-HMET PC-06 ECMWF Modeled Precipitation and Surface Flux, Rondonia, Brazil: 1999
\n\u7b80\u4ecb
\n\u8be5\u6570\u636e\u96c6\u63d0\u4f9b\u4e86\u6b27\u6d32\u4e2d\u671f\u5929\u6c14\u9884\u62a5\u4e2d\u5fc3 (ECMWF) \u6a21\u578b\u77ed\u671f\u9884\u62a5\u751f\u6210\u7684\u964d\u6c34\u3001\u8fd1\u5730\u8868\u70ed\u529b\u5b66\u548c\u5730\u8868\u901a\u91cf\u7684\u5e73\u5747\u65e5\u53d8\u5316\u5468\u671f\u3002 \u6a21\u578b\u8f93\u51fa\u4e3a 12 \u81f3 36 \u5c0f\u65f6\u7684\u77ed\u671f\u9884\u62a5，\u91c7\u7528 T319 \u4e09\u89d2\u622a\u65ad\u6cd5，\u5782\u76f4\u5206\u8fa8\u7387\u4e3a 60 \u5c42，\u6bcf\u65e5 12:00（UTC&#xf<\/p>\n","protected":false},"author":2,"featured_media":100616,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[11504,97,323,5134],"topic":[],"class_list":["post-100619","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-server","tag-nasa","tag-97","tag-323","tag-5134"],"yoast_head":"\nLBA-HMET PC-06 ECMWF \u6a21\u62df\u964d\u6c34\u548c\u5730\u8868\u901a\u91cf\uff0c\u5df4\u897f\u6717\u591a\u5c3c\u4e9a\u5dde\uff1a1999 \u5e74 - 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