閬ユ劅鎶�鏈笌搴旂敤 鈥衡�� 2019, Vol. 34 鈥衡�� Issue (1): 125-134.DOI: 10.11873/j.issn.1004-0323.2019.1.0125

鈥� 妯″瀷涓庡弽婕� 鈥� 涓婁竴绡�    涓嬩竴绡�

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  • 鏀剁鏃ユ湡:2018-03-28 鍑虹増鏃ユ湡:2019-02-20 鍙戝竷鏃ユ湡:2019-04-02
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A Regional-Scale Performance Evaluation of SMOS and AMSR2 Soil Moisture Products over Asia

Li Ruijuan锛孡i Zhaofu锛孒ao Rui锛孼hang Shuyu锛孭an Jianjun   

  1. (College of Resources and Environmental Sciences锛孨anjing Agricultural University锛孨anjing 210095锛孋hina)
  • Received:2018-03-28 Online:2019-02-20 Published:2019-04-02

鎽樿锛� 閬ユ劅鍙嶆紨鍦熷¥姘村垎(SM)浜у搧瓒婃潵瓒婂鍦板簲鐢ㄤ簬鍐滀笟銆佹皵璞°�佹按鏂囩瓑鐮旂┒锛岃�屽井娉㈠湡澹ゆ按鍒嗘暟鎹骇鍝佺殑鍖哄煙閫傜敤鎬у垎鏋愭槸鍏跺悎鐞嗕娇鐢ㄧ殑蹇呰鍓嶆彁銆備娇鐢∕ERRA-2(Modern Era Retrospective-analysis for Research and Applications锛孷ersion 2)妯℃嫙鍦熷¥姘村垎涓哄弬鑰冩暟鎹紝杩愮敤浼犵粺缁熻鏂规硶(鍘熷鏁版嵁鐩稿叧鎬с�佽窛骞崇浉鍏虫�с�佸亸宸互鍙婃棤鍋忓潎鏂规牴宸�)鍜孴C(Triple-Collocation)涓嶇‘瀹氭�ц宸ā鍨嬪垎鏋愮殑鏂规硶锛屽浜氭床鍖哄煙2012骞�7鏈垀2016骞�7鏈堜袱绉嶈鍔ㄥ井娉㈠湡澹ゆ按鍒哠MOS-L3-SM(Soil Moisture and Ocean Salinity锛孡3)鍜孉MSR2-LPRM-SM(The Advanced Microwave Scanning Radiometer 2锛孡and Parameter Retrieval Model Product)杩涜瀵规瘮璇勪及銆傜粨鏋滆〃鏄庯細鈶犵┖闂翠笂SMOS-L3杈傾MSR2-LPRM鏁版嵁涓庡弬鑰冩暟鎹甅ERRA-2鍦熷¥姘村垎鐨勭浉鍏虫�ц緝濂斤紝琛ㄧ幇涓篠MOS-L3-SM鍏锋湁杈冨ソ鐨勭┖闂磋繛缁�э紝涓斿湪浜氭床澶у鏁板湴鍖烘湁杈冨皬鐨勬棤鍋忓潎鏂规牴宸�;鈶℃箍瀛f潯浠朵笅閬ユ劅鍦熷¥姘村垎涓庡弬鑰冨�肩殑鐩稿叧鎬ф瘮骞插鏉′欢涓嬬殑鐩稿叧鎬ф洿濂斤紝涓斿共瀛e嚭鐜伴珮绾湴鍖�(绾�>55掳)缂哄け鍊艰緝澶氱殑鎯呭喌;鈶袱閬ユ劅鍦熷¥姘村垎鐨凾C璇樊鍛堢幇鐩镐技鐨勫垎甯冿紝鍖哄煙TC骞冲潎璇樊涓よ�呭潎涓�0.076 m3/m3顎夈�傛�讳箣锛孲MOS-L3-SM鍜孉MSR2-LPRM-SM鍦ㄧ┖闂寸浉鍏虫�у強TC璇樊璇勪环鏂归潰閮藉叿鏈夊悎鐞嗘�э紝涓洪仴鎰熷湡澹ゆ按鍒嗗湪鍐滀笟銆佹皵璞°�佹按鏂囩瓑鏂归潰鐨勫簲鐢ㄦ彁渚涘弬鑰冦��

鍏抽敭璇�: 鍦熷¥姘村垎, SMOS-L3-SM, AMSR2-LPRM-SM, MERRA-2, 浜氭床

Abstract:

Soil Moisture (SM)products derived from satellite missions have been widely applied in agriculture锛宮eteorology锛宧ydrology锛宎nd other fields.It is very necessary to assess the reliability of satellite soil moisture products over regional scale before using them.Two passive satellite soil moisture products锛宱btained from SMOS (the Soil Moisture Ocean Salinity锛汱3)and AMSR2 (the Advanced Microwave Scanning Radiometer 2锛汱PRM)锛寃ere evaluated over Asia with reference to MERRA-2 (the Modern Era Retrospective-analysis data for Research and Applications锛孷ersion 2)simulated products.The evaluation was performed by adopting a classic statistical method (including Pearson correlation (R)for original SM data and anomalies锛宐ias and unbiased root mean square root)and Triple Collocation (TC)approach based on the SMOS-L3 and AMSR-LPRM daily SM products during July 2012~July 2016.The results reveal that锛�(1)in space锛宼he performance of SMOS-L3-SM is better than AMSR2-LPRM-SM both for the original SM data and anomalies.Because the SMOS-L3-SM performed consistent correlation over Asia and the smaller unbiased root mean squared difference (ubRMSD)of SMOS-L3-SM is found in most parts of Asia锛�(2)the correlation between satellite and simulated SM is better in the wet season than in the dry season.Additionally there is a quite high probability of a lack of value in high latitude (about >55掳)areas in the dry season to appear锛�(3)SMOS-L3-SM and AMSR2-LPRM-SM have relatively similar TC errors distribution with a mean error of 0.076 m3/m3 for both of them.Overall锛宐oth SMOS-L3-SM and AMSR2-LPRM-SM give reasonable results on correlation and TC error锛宼hus providing an additional reference for application of soil moisture in agriculture锛宮eteorology锛宧ydrology and other studies.

Key words: Soil moisture锛汼MOS-L3-SM锛汚MSR2-LPRM-SM, MERRA-2, Asia

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