中国SEBAL蒸散量数据集（SEBAL ET）表征了2001-2018年中国植被的日蒸散量（以毫米为单位），空间分辨率为1km×1km，时间分辨率为1天，坐标系为GCS_WGS_1984。产品采用陆地表面能量平衡算法（SEBAL）和多源遥感数据生成，包括 MOD43A1 日地表反照率、MOD11A1 日地表温度和 MOD13 植被指数（来自 NASA：https://ladsweb.modaps.eosdis.nasa.gov/search/），气象数据来自 GMAO（https://gmao.gsfc.nasa.gov/research/highlights/2013-2015.php），输入变量均聚合重采样为 1 km×1km 。EBAL ET 可用于多项地球科学研究，特别是全球变化、水资源管理和农业干旱监测等。
", "ds_source": "产品采用陆地表面能量平衡算法（SEBAL）和多源遥感数据生成，包括 MOD43A1 日地表反照率、MOD11A1 日地表温度和 MOD13 植被指数（来自 NASA：https://ladsweb.modaps.eosdis.nasa.gov/search/），气象数据来自 GMAO（https://gmao.gsfc.nasa.gov/research/highlights/2013-2015.php）
", "ds_process_way": "1.使用多源图像生成长时间序列 （2001–2018） 基于表面能量平衡算法的 1 km × 1 km 空间分辨率的日 ET 积 土地 （SEBAL）;
\n2.利用通量观测数据和水文观测数据，全面评价中国 SEBAL ET 的性能 数据;
\n3. 比较 SEBAL ET 与 MOD16 ET 产品在不同环境下点尺度和流域尺度的性能 条件。", "ds_quality": "
使用 8 个通量塔观测数据对产品进行了点验证评估，并使用水平衡方法对产品进行了区域验证评估，结果显示 R 值分别为 0.79 和 0.98，这表明产品具有良好的性能。
", "ds_acq_start_time": "2001-01-01 00:00:00", "ds_acq_end_time": "2018-12-31 00:00:00", "ds_acq_place": "中国", "ds_acq_lon_east": 135.01666666666668, "ds_acq_lat_south": 3.8666666666666667, "ds_acq_lon_west": 73.66666666666667, "ds_acq_lat_north": 53.5, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "login-access", "ds_total_size": 35831982384, "ds_files_count": 11, "ds_format": "tiff", "ds_space_res": "1000", "ds_time_res": "日", "ds_coordinate": "WGS84", "ds_projection": "", "ds_thumbnail": "c50afcef-804b-4bdb-88fe-0b55c45cb30b.png", "ds_thumb_from": 2, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "", "ds_from_station": null, "organization_id": "0a4269e1-65f4-45f1-aeba-88ea3068eebf", "ds_serv_man": "敏玉芳", "ds_serv_phone": "09314967596", "ds_serv_mail": "ncdc@lzb.ac.cn", "doi_value": "", "subject_codes": [ "170.45" ], "quality_level": 3, "publish_time": "2024-10-29 09:40:01", "last_updated": "2026-01-14 10:47:00", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.NCDC.ZENODO.DB6618.2024", "i18n": { "en": { "title": "Long time series (2001-2018) of daily evapotranspiration in China generated based on SEBAL: Part 2", "ds_format": "tiff", "ds_source": "The product adopts the Land Surface Energy Balance Algorithm (SEBAL) and multi-source remote sensing data generation, including MOD43A1 surface albedo, MOD11A1 surface temperature, and MOD13 vegetation index (from NASA: https://ladsweb.modaps.eosdis.nasa.gov/search/ ）The meteorological data comes from GMAO（ https://gmao.gsfc.nasa.gov/research/highlights/2013-2015.php ）
", "ds_quality": "The product was subjected to point validation evaluation using observation data from 8 flux towers, and regional validation evaluation was conducted using water balance method. The results showed that the R values were 0.79 and 0.98, respectively, indicating that the product has good performance", "ds_ref_way": "", "ds_abstract": "
The China SEBAL Evapotranspiration Dataset (SEBAL ET) characterizes the daily evapotranspiration of vegetation in China from 2001 to 2018 (in millimeters), with a spatial resolution of 1km × 1km and a temporal resolution of 1 day. The coordinate system is GCSWGS_1984. The product adopts the Land Surface Energy Balance Algorithm (SEBAL) and multi-source remote sensing data generation, including MOD43A1 surface albedo, MOD11A1 surface temperature, and MOD13 vegetation index (from NASA: https://ladsweb.modaps.eosdis.nasa.gov/search/ ）The meteorological data comes from GMAO（ https://gmao.gsfc.nasa.gov/research/highlights/2013-2015.php ）The input variables are aggregated and resampled to 1 km × 1km. EBAL ET can be used for multiple Earth science studies, particularly in global change, water resource management, and agricultural drought monitoring
", "ds_time_res": "日", "ds_acq_place": "China", "ds_space_res": "1000", "ds_projection": "", "ds_process_way": "1. Using multi-source images to generate long time series (2001-2018) based on surface energy balance algorithm for daily ET land area (SEBAL) with a spatial resolution of 1 km × 1 km\n
2. Use flux observation data and hydrological observation data to comprehensively evaluate the performance data of China SEBAL ET\n
3. Compare the performance conditions of SEBAL ET and MOD16 ET products at point and watershed scales in different environments.", "ds_ref_instruction": "" } }, "submit_center_id": "ncdc", "data_level": 0, "license_type": "CC BY 4.0", "doi_reg_from": "reg_outside", "cstr_reg_from": "reg_outside", "doi_not_reg_reason": null, "cstr_not_reg_reason": null, "is_paper_in_submitting": false, "ds_topic_tags": [ "逐日", "蒸散发", "长时间序列", "SEBAL模型" ], "ds_subject_tags": [ "地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "中国" ], "ds_time_tags": [ 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018 ], "ds_contributors": [ { "true_name": " 缴锡云 ", "email": "xyjiao@hhu.edu.cn", "work_for": "河海大学农业科学与工程学院", "country": "中国" }, { "true_name": "金秀良", "email": "jinxiuliang@caas.cn", "work_for": "中国农业科学院作物科学研究所作物栽培与耕作中心", "country": "中国" } ], "ds_meta_authors": [ { "true_name": " 缴锡云 ", "email": "xyjiao@hhu.edu.cn", "work_for": "河海大学农业科学与工程学院", "country": "中国" }, { "true_name": "金秀良", "email": "jinxiuliang@caas.cn", "work_for": "中国农业科学院作物科学研究所作物栽培与耕作中心", "country": "中国" } ], "ds_managers": [ { "true_name": " 缴锡云 ", "email": "xyjiao@hhu.edu.cn", "work_for": "河海大学农业科学与工程学院", "country": "中国" }, { "true_name": "金秀良", "email": "jinxiuliang@caas.cn", "work_for": "中国农业科学院作物科学研究所作物栽培与耕作中心", "country": "中国" } ], "category": "气象" }