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On May 26, 2021 at 2:45:02 AM UTC, seanh:
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Updated description of Passive microwave remote sensing data of snow water equivalent in High Asia from
High Asia is a high-altitude region in Asia dominated by the Qinghai-Tibet Plateau. It is an important distribution area for snow in the middle and low latitudes. The dynamic changes of snow cover have an important impact on the water and energy cycle, climate and environmental changes in the region. Snow-covered snow water equivalent (SWE) products (such as ESA GlobSnow), which are widely used around the world, have data vacancies in high Asia, and some global algorithms are generally overestimated in high Asia. Based on the AMSR-E brightness temperature data, this data is based on the NASA standard algorithm and the improved algorithm of the Qinghai-Tibet Plateau with different underlying surfaces. Two sets of ASMR-E snow-water equivalent data sets from 2002 to 2011 in the Qinghai-Tibet Plateau were produced. The improved algorithm is verified and evaluated by the measured snow depth of the ground meteorological station, indicating that the accuracy of the improved algorithm of the Qinghai-Tibet Plateau has improved. In addition, the paper also comprehensively processes the SWE products based on MODIS daily cloud-free snow cover products and NASA snow algorithm and obtains a set of comprehensive data sets of microwave and optical snow water equivalents from 2003 to 2011. The three sets of snow water equivalent product data sets provide basic data support for scientific research in climate change, water, energy balance, environmental change and water use in high Asia.
toHigh Asia is a high-altitude region in Asia dominated by the Qinghai-Tibet Plateau. It is an important distribution area for snow in the middle and low latitudes. The dynamic changes of snow cover have an important impact on the water and energy cycle, climate and environmental changes in the region. Snow-covered snow water equivalent (SWE) products (such as ESA GlobSnow), which are widely used around the world, have data vacancies in high Asia, and some global algorithms are generally overestimated in high Asia. Based on the AMSR-E brightness temperature data, this data is based on the NASA standard algorithm and the improved algorithm of the Qinghai-Tibet Plateau with different underlying surfaces. Two sets of ASMR-E snow-water equivalent data sets from 2002 to 2011 in the Qinghai-Tibet Plateau were produced. The improved algorithm is verified and evaluated by the measured snow depth of the ground meteorological station, indicating that the accuracy of the improved algorithm of the Qinghai-Tibet Plateau has improved. In addition, the paper also comprehensively processes the SWE products based on MODIS daily cloud-free snow cover products and NASA snow algorithm and obtains a set of comprehensive data sets of microwave and optical snow water equivalents from 2003 to 2011. The three sets of snow water equivalent product data sets provide basic data support for scientific research in climate change, water, energy balance, environmental change and water use in high Asia.
f | 1 | { | f | 1 | { |
2 | "author": "Qiu Yubao,\u00a0Lu Jieyu,\u00a0Shi Lijuan,\u00a0Xie | 2 | "author": "Qiu Yubao,\u00a0Lu Jieyu,\u00a0Shi Lijuan,\u00a0Xie | ||
3 | Pengfei,\u00a0Liang Wenshan,\u00a0Wang Xingxing", | 3 | Pengfei,\u00a0Liang Wenshan,\u00a0Wang Xingxing", | ||
4 | "author_email": "qiuyb@aircas.ac.cn", | 4 | "author_email": "qiuyb@aircas.ac.cn", | ||
5 | "creator_user_id": "2e9fa41b-0394-4070-98d0-205f79d5738b", | 5 | "creator_user_id": "2e9fa41b-0394-4070-98d0-205f79d5738b", | ||
6 | "extras": [ | 6 | "extras": [ | ||
7 | { | 7 | { | ||
8 | "key": "Geographic Coverage", | 8 | "key": "Geographic Coverage", | ||
9 | "value": "25\u00b0N\u201345\u00b0N, 67\u00b0E\u2013107\u00b0E" | 9 | "value": "25\u00b0N\u201345\u00b0N, 67\u00b0E\u2013107\u00b0E" | ||
10 | }, | 10 | }, | ||
11 | { | 11 | { | ||
12 | "key": "Time", | 12 | "key": "Time", | ||
13 | "value": "2003-2011" | 13 | "value": "2003-2011" | ||
14 | } | 14 | } | ||
15 | ], | 15 | ], | ||
16 | "groups": [ | 16 | "groups": [ | ||
17 | { | 17 | { | ||
18 | "description": "CAS-GMELT, the Gla.cial Melt Toolbox for High | 18 | "description": "CAS-GMELT, the Gla.cial Melt Toolbox for High | ||
19 | Mountain Asia, are collections of dataset, models, and tools by the | 19 | Mountain Asia, are collections of dataset, models, and tools by the | ||
20 | GMELT project funded by Chinese Academy of Sciences. CAS-GMELT | 20 | GMELT project funded by Chinese Academy of Sciences. CAS-GMELT | ||
21 | provides an operational publicly open platform for the exchange and | 21 | provides an operational publicly open platform for the exchange and | ||
22 | collaboration with NASA's Earth Science\u00a0Division (ESD). The | 22 | collaboration with NASA's Earth Science\u00a0Division (ESD). The | ||
23 | CAS-GMELT is aiming to develop newly geophysical parameters based on | 23 | CAS-GMELT is aiming to develop newly geophysical parameters based on | ||
24 | space Earth observations.", | 24 | space Earth observations.", | ||
25 | "display_name": "CAS-GMELT", | 25 | "display_name": "CAS-GMELT", | ||
26 | "id": "e4e63708-a44b-40bb-8650-9c112f236293", | 26 | "id": "e4e63708-a44b-40bb-8650-9c112f236293", | ||
27 | "image_display_url": | 27 | "image_display_url": | ||
28 | //115.29.142.79/uploads/group/2021-05-18-053350.744990GMELT-logo.png", | 28 | //115.29.142.79/uploads/group/2021-05-18-053350.744990GMELT-logo.png", | ||
29 | "name": "cas-gmelt", | 29 | "name": "cas-gmelt", | ||
30 | "title": "CAS-GMELT" | 30 | "title": "CAS-GMELT" | ||
31 | }, | 31 | }, | ||
32 | { | 32 | { | ||
33 | "description": "Snow Observations over Tibetan Plateau - | 33 | "description": "Snow Observations over Tibetan Plateau - | ||
34 | http://115.29.142.79/. \r\n\r\nIt is a project funded by the Special | 34 | http://115.29.142.79/. \r\n\r\nIt is a project funded by the Special | ||
35 | Scientific Research Fund of Meteorology in the Public Welfare | 35 | Scientific Research Fund of Meteorology in the Public Welfare | ||
36 | Profession of China (Grant No. GYHY201206040) from 2012.01-2015.12. | 36 | Profession of China (Grant No. GYHY201206040) from 2012.01-2015.12. | ||
37 | SOTP was operated by Tibet Center for Remote Sensing Applications, | 37 | SOTP was operated by Tibet Center for Remote Sensing Applications, | ||
38 | Tibet Meteorological Bureau, China Meteorological Administration | 38 | Tibet Meteorological Bureau, China Meteorological Administration | ||
39 | (CMA), Center for Earth Observtion and Digital Earth (CEODE) of CAS, | 39 | (CMA), Center for Earth Observtion and Digital Earth (CEODE) of CAS, | ||
40 | and National Satellite Meteorological Centre(NSMC) of China | 40 | and National Satellite Meteorological Centre(NSMC) of China | ||
41 | Meteorological Administration (CMA). It has been developing for | 41 | Meteorological Administration (CMA). It has been developing for | ||
42 | several years with the continuing efforts by partners, and now | 42 | several years with the continuing efforts by partners, and now | ||
43 | providing several valuable datsets openly.", | 43 | providing several valuable datsets openly.", | ||
44 | "display_name": "SOTP", | 44 | "display_name": "SOTP", | ||
45 | "id": "91c8d68b-e13e-41e3-94de-bbfeb3e5e85f", | 45 | "id": "91c8d68b-e13e-41e3-94de-bbfeb3e5e85f", | ||
46 | "image_display_url": | 46 | "image_display_url": | ||
47 | p://115.29.142.79/uploads/group/2021-05-18-053828.567967SOTPlogo.png", | 47 | p://115.29.142.79/uploads/group/2021-05-18-053828.567967SOTPlogo.png", | ||
48 | "name": "sotp", | 48 | "name": "sotp", | ||
49 | "title": "SOTP" | 49 | "title": "SOTP" | ||
50 | } | 50 | } | ||
51 | ], | 51 | ], | ||
52 | "id": "f4b2ccd3-0a18-496a-9b1f-b0287ed25697", | 52 | "id": "f4b2ccd3-0a18-496a-9b1f-b0287ed25697", | ||
53 | "isopen": true, | 53 | "isopen": true, | ||
54 | "license_id": "other-open", | 54 | "license_id": "other-open", | ||
55 | "license_title": "Other (Open)", | 55 | "license_title": "Other (Open)", | ||
56 | "maintainer": "", | 56 | "maintainer": "", | ||
57 | "maintainer_email": "", | 57 | "maintainer_email": "", | ||
58 | "metadata_created": "2020-05-01T12:47:53.619045", | 58 | "metadata_created": "2020-05-01T12:47:53.619045", | ||
n | 59 | "metadata_modified": "2021-05-20T09:43:55.378318", | n | 59 | "metadata_modified": "2021-05-26T02:45:02.791647", |
60 | "name": | 60 | "name": | ||
61 | -microwave-remote-sensing-data-of-snow-water-equivalent-in-high-asia", | 61 | -microwave-remote-sensing-data-of-snow-water-equivalent-in-high-asia", | ||
62 | "notes": "\tHigh Asia is a high-altitude region in Asia dominated by | 62 | "notes": "\tHigh Asia is a high-altitude region in Asia dominated by | ||
63 | the Qinghai-Tibet Plateau. It is an important distribution area for | 63 | the Qinghai-Tibet Plateau. It is an important distribution area for | ||
64 | snow in the middle and low latitudes. The dynamic changes of snow | 64 | snow in the middle and low latitudes. The dynamic changes of snow | ||
65 | cover have an important impact on the water and energy cycle, climate | 65 | cover have an important impact on the water and energy cycle, climate | ||
66 | and environmental changes in the region. Snow-covered snow water | 66 | and environmental changes in the region. Snow-covered snow water | ||
67 | equivalent (SWE) products (such as ESA GlobSnow), which are widely | 67 | equivalent (SWE) products (such as ESA GlobSnow), which are widely | ||
68 | used around the world, have data vacancies in high Asia, and some | 68 | used around the world, have data vacancies in high Asia, and some | ||
69 | global algorithms are generally overestimated in high Asia. Based on | 69 | global algorithms are generally overestimated in high Asia. Based on | ||
70 | the AMSR-E brightness temperature data, this data is based on the NASA | 70 | the AMSR-E brightness temperature data, this data is based on the NASA | ||
71 | standard algorithm and the improved algorithm of the Qinghai-Tibet | 71 | standard algorithm and the improved algorithm of the Qinghai-Tibet | ||
72 | Plateau with different underlying surfaces. Two sets of ASMR-E | 72 | Plateau with different underlying surfaces. Two sets of ASMR-E | ||
73 | snow-water equivalent data sets from 2002 to 2011 in the Qinghai-Tibet | 73 | snow-water equivalent data sets from 2002 to 2011 in the Qinghai-Tibet | ||
74 | Plateau were produced. The improved algorithm is verified and | 74 | Plateau were produced. The improved algorithm is verified and | ||
75 | evaluated by the measured snow depth of the ground meteorological | 75 | evaluated by the measured snow depth of the ground meteorological | ||
76 | station, indicating that the accuracy of the improved algorithm of the | 76 | station, indicating that the accuracy of the improved algorithm of the | ||
77 | Qinghai-Tibet Plateau has improved. In addition, the paper also | 77 | Qinghai-Tibet Plateau has improved. In addition, the paper also | ||
78 | comprehensively processes the SWE products based on MODIS daily | 78 | comprehensively processes the SWE products based on MODIS daily | ||
79 | cloud-free snow cover products and NASA snow algorithm and obtains a | 79 | cloud-free snow cover products and NASA snow algorithm and obtains a | ||
80 | set of comprehensive data sets of microwave and optical snow water | 80 | set of comprehensive data sets of microwave and optical snow water | ||
81 | equivalents from 2003 to 2011. The three sets of snow water equivalent | 81 | equivalents from 2003 to 2011. The three sets of snow water equivalent | ||
82 | product data sets provide basic data support for scientific research | 82 | product data sets provide basic data support for scientific research | ||
83 | in climate change, water, energy balance, environmental change and | 83 | in climate change, water, energy balance, environmental change and | ||
t | 84 | water use in high Asia.", | t | 84 | water use in high Asia. ", |
85 | "num_resources": 3, | 85 | "num_resources": 3, | ||
86 | "num_tags": 4, | 86 | "num_tags": 4, | ||
87 | "organization": { | 87 | "organization": { | ||
88 | "approval_status": "approved", | 88 | "approval_status": "approved", | ||
89 | "created": "2020-04-30T11:11:08.802657", | 89 | "created": "2020-04-30T11:11:08.802657", | ||
90 | "description": "Aerospace Information Research Institute (AIR) | 90 | "description": "Aerospace Information Research Institute (AIR) | ||
91 | under the Chinese Academy of Sciences (CAS) was established in July | 91 | under the Chinese Academy of Sciences (CAS) was established in July | ||
92 | 2017, following the approval for consolidation of three CAS | 92 | 2017, following the approval for consolidation of three CAS | ||
93 | institutes: the Institute of Electronics (IECAS), the Institute of | 93 | institutes: the Institute of Electronics (IECAS), the Institute of | ||
94 | Remote Sensing and Digital Earth (RADI), and the Academy of | 94 | Remote Sensing and Digital Earth (RADI), and the Academy of | ||
95 | Opto-Electronics (AOE) at CAS President Board Meeting. The merger is | 95 | Opto-Electronics (AOE) at CAS President Board Meeting. The merger is | ||
96 | the outcome of CAS efforts towards reformation of its R&D system to | 96 | the outcome of CAS efforts towards reformation of its R&D system to | ||
97 | meet future R&D challenges and to better meet the national demands.", | 97 | meet future R&D challenges and to better meet the national demands.", | ||
98 | "id": "c25dce84-97be-4153-8b90-d38f9ab73e5f", | 98 | "id": "c25dce84-97be-4153-8b90-d38f9ab73e5f", | ||
99 | "image_url": "2021-05-18-080509.992585AIRlogo.png", | 99 | "image_url": "2021-05-18-080509.992585AIRlogo.png", | ||
100 | "is_organization": true, | 100 | "is_organization": true, | ||
101 | "name": "air", | 101 | "name": "air", | ||
102 | "state": "active", | 102 | "state": "active", | ||
103 | "title": "Aerospace Information Research Institute, CAS", | 103 | "title": "Aerospace Information Research Institute, CAS", | ||
104 | "type": "organization" | 104 | "type": "organization" | ||
105 | }, | 105 | }, | ||
106 | "owner_org": "c25dce84-97be-4153-8b90-d38f9ab73e5f", | 106 | "owner_org": "c25dce84-97be-4153-8b90-d38f9ab73e5f", | ||
107 | "private": false, | 107 | "private": false, | ||
108 | "relationships_as_object": [], | 108 | "relationships_as_object": [], | ||
109 | "relationships_as_subject": [], | 109 | "relationships_as_subject": [], | ||
110 | "resources": [ | 110 | "resources": [ | ||
111 | { | 111 | { | ||
112 | "cache_last_updated": null, | 112 | "cache_last_updated": null, | ||
113 | "cache_url": null, | 113 | "cache_url": null, | ||
114 | "created": "2020-05-01T12:48:44.545783", | 114 | "created": "2020-05-01T12:48:44.545783", | ||
115 | "datastore_active": false, | 115 | "datastore_active": false, | ||
116 | "description": "SWE product based on NASA algorithm, abbreviated | 116 | "description": "SWE product based on NASA algorithm, abbreviated | ||
117 | as NASA-HMA-SWE products, with a time range from June 2002 to | 117 | as NASA-HMA-SWE products, with a time range from June 2002 to | ||
118 | September 2011.", | 118 | September 2011.", | ||
119 | "format": "BIN", | 119 | "format": "BIN", | ||
120 | "hash": "", | 120 | "hash": "", | ||
121 | "id": "5ca1ac6a-45a4-46a8-b65b-2590fe3db12e", | 121 | "id": "5ca1ac6a-45a4-46a8-b65b-2590fe3db12e", | ||
122 | "last_modified": null, | 122 | "last_modified": null, | ||
123 | "metadata_modified": "2020-05-01T12:48:44.545783", | 123 | "metadata_modified": "2020-05-01T12:48:44.545783", | ||
124 | "mimetype": null, | 124 | "mimetype": null, | ||
125 | "mimetype_inner": null, | 125 | "mimetype_inner": null, | ||
126 | "name": "Passive microwave remote sensing snow water equivalent | 126 | "name": "Passive microwave remote sensing snow water equivalent | ||
127 | data set in high Asia", | 127 | data set in high Asia", | ||
128 | "package_id": "f4b2ccd3-0a18-496a-9b1f-b0287ed25697", | 128 | "package_id": "f4b2ccd3-0a18-496a-9b1f-b0287ed25697", | ||
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132 | "state": "active", | 132 | "state": "active", | ||
133 | "url": "http://www.sciencedb.cn/dataSet/handle/660", | 133 | "url": "http://www.sciencedb.cn/dataSet/handle/660", | ||
134 | "url_type": null | 134 | "url_type": null | ||
135 | }, | 135 | }, | ||
136 | { | 136 | { | ||
137 | "cache_last_updated": null, | 137 | "cache_last_updated": null, | ||
138 | "cache_url": null, | 138 | "cache_url": null, | ||
139 | "created": "2020-05-01T12:52:18.760035", | 139 | "created": "2020-05-01T12:52:18.760035", | ||
140 | "datastore_active": false, | 140 | "datastore_active": false, | ||
141 | "description": "SWE product based on RADI algorithm, abbreviated | 141 | "description": "SWE product based on RADI algorithm, abbreviated | ||
142 | as RADI-QTP-SWE products, with a time range from January 2003 to | 142 | as RADI-QTP-SWE products, with a time range from January 2003 to | ||
143 | October 2011.", | 143 | October 2011.", | ||
144 | "format": "GeoTIFF", | 144 | "format": "GeoTIFF", | ||
145 | "hash": "", | 145 | "hash": "", | ||
146 | "id": "0737cc6e-9073-4e76-bfcc-cc07aebee49e", | 146 | "id": "0737cc6e-9073-4e76-bfcc-cc07aebee49e", | ||
147 | "last_modified": null, | 147 | "last_modified": null, | ||
148 | "metadata_modified": "2020-05-01T12:52:18.760035", | 148 | "metadata_modified": "2020-05-01T12:52:18.760035", | ||
149 | "mimetype": null, | 149 | "mimetype": null, | ||
150 | "mimetype_inner": null, | 150 | "mimetype_inner": null, | ||
151 | "name": "Passive microwave remote sensing snow water equivalent | 151 | "name": "Passive microwave remote sensing snow water equivalent | ||
152 | data set in high Asia", | 152 | data set in high Asia", | ||
153 | "package_id": "f4b2ccd3-0a18-496a-9b1f-b0287ed25697", | 153 | "package_id": "f4b2ccd3-0a18-496a-9b1f-b0287ed25697", | ||
154 | "position": 1, | 154 | "position": 1, | ||
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156 | "size": null, | 156 | "size": null, | ||
157 | "state": "active", | 157 | "state": "active", | ||
158 | "url": "http://www.csdata.org/p/238/", | 158 | "url": "http://www.csdata.org/p/238/", | ||
159 | "url_type": null | 159 | "url_type": null | ||
160 | }, | 160 | }, | ||
161 | { | 161 | { | ||
162 | "cache_last_updated": null, | 162 | "cache_last_updated": null, | ||
163 | "cache_url": null, | 163 | "cache_url": null, | ||
164 | "created": "2020-05-03T07:03:54.625585", | 164 | "created": "2020-05-03T07:03:54.625585", | ||
165 | "datastore_active": false, | 165 | "datastore_active": false, | ||
166 | "description": "Blended SWE product based on MODIS and AMSR-E, | 166 | "description": "Blended SWE product based on MODIS and AMSR-E, | ||
167 | abbreviated as Blended-HMA-SWE products, with a time range from | 167 | abbreviated as Blended-HMA-SWE products, with a time range from | ||
168 | January 2003 to October 2011.", | 168 | January 2003 to October 2011.", | ||
169 | "format": "BLD", | 169 | "format": "BLD", | ||
170 | "hash": "", | 170 | "hash": "", | ||
171 | "id": "1057fe92-8e57-4a27-87de-118b379d4ab2", | 171 | "id": "1057fe92-8e57-4a27-87de-118b379d4ab2", | ||
172 | "last_modified": null, | 172 | "last_modified": null, | ||
173 | "metadata_modified": "2020-05-03T07:03:54.625585", | 173 | "metadata_modified": "2020-05-03T07:03:54.625585", | ||
174 | "mimetype": null, | 174 | "mimetype": null, | ||
175 | "mimetype_inner": null, | 175 | "mimetype_inner": null, | ||
176 | "name": "Passive microwave remote sensing snow water equivalent | 176 | "name": "Passive microwave remote sensing snow water equivalent | ||
177 | data set in high Asia", | 177 | data set in high Asia", | ||
178 | "package_id": "f4b2ccd3-0a18-496a-9b1f-b0287ed25697", | 178 | "package_id": "f4b2ccd3-0a18-496a-9b1f-b0287ed25697", | ||
179 | "position": 2, | 179 | "position": 2, | ||
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181 | "size": null, | 181 | "size": null, | ||
182 | "state": "active", | 182 | "state": "active", | ||
183 | "url": "http://www.sciencedb.cn/dataSet/handle/660", | 183 | "url": "http://www.sciencedb.cn/dataSet/handle/660", | ||
184 | "url_type": null | 184 | "url_type": null | ||
185 | } | 185 | } | ||
186 | ], | 186 | ], | ||
187 | "state": "active", | 187 | "state": "active", | ||
188 | "tags": [ | 188 | "tags": [ | ||
189 | { | 189 | { | ||
190 | "display_name": "High Mountain Asia", | 190 | "display_name": "High Mountain Asia", | ||
191 | "id": "217bb74a-7145-44cf-a89f-601d1eb91132", | 191 | "id": "217bb74a-7145-44cf-a89f-601d1eb91132", | ||
192 | "name": "High Mountain Asia", | 192 | "name": "High Mountain Asia", | ||
193 | "state": "active", | 193 | "state": "active", | ||
194 | "vocabulary_id": null | 194 | "vocabulary_id": null | ||
195 | }, | 195 | }, | ||
196 | { | 196 | { | ||
197 | "display_name": "Passive Microwave", | 197 | "display_name": "Passive Microwave", | ||
198 | "id": "bd9e376c-6800-4336-ab68-4941c0979372", | 198 | "id": "bd9e376c-6800-4336-ab68-4941c0979372", | ||
199 | "name": "Passive Microwave", | 199 | "name": "Passive Microwave", | ||
200 | "state": "active", | 200 | "state": "active", | ||
201 | "vocabulary_id": null | 201 | "vocabulary_id": null | ||
202 | }, | 202 | }, | ||
203 | { | 203 | { | ||
204 | "display_name": "SOTP", | 204 | "display_name": "SOTP", | ||
205 | "id": "dba0558e-c0f2-4696-b557-d9ad1333ec76", | 205 | "id": "dba0558e-c0f2-4696-b557-d9ad1333ec76", | ||
206 | "name": "SOTP", | 206 | "name": "SOTP", | ||
207 | "state": "active", | 207 | "state": "active", | ||
208 | "vocabulary_id": null | 208 | "vocabulary_id": null | ||
209 | }, | 209 | }, | ||
210 | { | 210 | { | ||
211 | "display_name": "Snow Water Equivalent", | 211 | "display_name": "Snow Water Equivalent", | ||
212 | "id": "582fc7aa-9b02-4967-b97f-9578e73a51f0", | 212 | "id": "582fc7aa-9b02-4967-b97f-9578e73a51f0", | ||
213 | "name": "Snow Water Equivalent", | 213 | "name": "Snow Water Equivalent", | ||
214 | "state": "active", | 214 | "state": "active", | ||
215 | "vocabulary_id": null | 215 | "vocabulary_id": null | ||
216 | } | 216 | } | ||
217 | ], | 217 | ], | ||
218 | "title": "Passive microwave remote sensing data of snow water | 218 | "title": "Passive microwave remote sensing data of snow water | ||
219 | equivalent in High Asia", | 219 | equivalent in High Asia", | ||
220 | "type": "dataset", | 220 | "type": "dataset", | ||
221 | "url": "http://www.sciencedb.cn/dataSet/handle/660", | 221 | "url": "http://www.sciencedb.cn/dataSet/handle/660", | ||
222 | "version": "" | 222 | "version": "" | ||
223 | } | 223 | } |