本陆地蒸散发数据集采用互补蒸散发模型，其中模型的参数(PT-α)采用逐格点、逐时间步长皆变化的参数；模型输入驱动包括ERA5气温、湿度、风速以及GLDAS 2.1的净辐射数据(其中南极洲净辐射来自ERA5)。空间分辨率为0.25度，时间分辨率为逐月。具体方法参见Ma et al. (2021)
", "ds_source": "1. 气温、湿度、风速数据来自于ERA5；\n
\n2.净辐射数据来自于GLDAS V2.1 （南极洲仍来自ERA5）。
", "ds_process_way": "本数据(V2.0)是2021年发布的全球陆地蒸散发V1.0的更新版，与V1.0相比，本数据有如下差别：\n
\n1) 模型输入驱动包括ERA5气温、湿度、风速以及GLDAS 2.1的净辐射数据(其中南极洲净辐射来自ERA5);\n
\n2) 模型的参数(PT-α)采用逐格点、逐时间步长皆变化的参数 (Szilagyi and Crago, 2023)；\n
\n本数据不能与以前的V1.0合并使用，因为二者使用的驱动有区别。
", "ds_quality": "数据质量良好。
", "ds_acq_start_time": "2000-01-01 00:00:00", "ds_acq_end_time": "2022-12-31 00:00:00", "ds_acq_place": "全球陆地", "ds_acq_lon_east": 180.0, "ds_acq_lat_south": 90.0, "ds_acq_lon_west": 180.0, "ds_acq_lat_north": 90.0, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "open-access", "ds_total_size": 1144647056, "ds_files_count": 2, "ds_format": "netCDF", "ds_space_res": " 0.25º", "ds_time_res": "逐月", "ds_coordinate": "无", "ds_projection": "", "ds_thumbnail": "fb0953e4-2969-4c52-9859-d1715f2c9a69.jpg", "ds_thumb_from": 2, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "", "ds_from_station": null, "organization_id": "52b7b79b-860c-49a5-9083-9a70cf8bed5a", "ds_serv_man": "李红星", "ds_serv_phone": "0931-4967592", "ds_serv_mail": "ncdc@lzb.ac.cn", "doi_value": "", "subject_codes": [ "170.15", "170.55" ], "quality_level": 3, "publish_time": "2023-10-09 17:18:26", "last_updated": "2023-10-10 16:15:35", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.NCDC.ET.DB4024.2023", "i18n": { "en": { "title": "Global terrestrial evapotranspiration dataset derived from complementary-relationship method (Version 2.0)", "ds_format": "", "ds_source": "1. Air temperature, humidity, and wind speed data: ERA5;\n
\n2. Net radiation data: GLDAS V2.1 (except Antarctic still from ERA5).
", "ds_quality": "Data quality is good.
", "ds_ref_way": "", "ds_abstract": "This global terrestrial evapotranspiration is derived from the calibration-free complementary relationship model. It uses spatial-temporally dynamic alpha values for each grid at each time step. The forcing includes air temperature, humidity, and wind speed from ERA5, and Rn from GLDAS v2.1 (Note that GLDAS 2.1 does not have data in Antarctic, the ERA5 Rn is therefore used for Antarctic). It is at 0.25° and has a monthly temporal resolution. Refer to Ma et al. (2021) for details
", "ds_time_res": "逐月", "ds_acq_place": "Global land", "ds_space_res": " 0.25º", "ds_projection": "", "ds_process_way": "Unlike the previous Version 1.0 of ET product covering 1982-2016 released in 2021, the Version 2.0 has mainly two differences with Version 1.0:\n
\n1) Version 2.0 is driven by GLDAS 2.1 Rn (with correction against CERES Rn) and ERA5 air and dew temperature and wind speed. Note that GLDAS 2.1 does not have data in Antarctic, the ERA5 Rn is therefore used for Antarctic.\n
\n2) Version 2.0 uses the latest method by Szilagyi and Crago (2023) to derive the spatial-temporally dynamic alpha values for each grid at each time step, unlike previsou versions using a spatial-temporal constant alpha.\n
\nFor users who are interested in ET during the post-2000 period, the Version 2.0 is highly suggested. However, it is NOT suggested to combine the previous Version 1.0 data with Version 2.0 data for a longer temporal coverage since they are driven by different climate forcings and by different parameters.
", "ds_ref_instruction": "" } }, "submit_center_id": "ncdc", "data_level": 0, "license_type": "CC BY 4.0", "ds_topic_tags": [ "蒸散发", "全球", "水循环" ], "ds_subject_tags": [ "大气科学", "水文学" ], "ds_class_tags": [], "ds_locus_tags": [ "全球" ], "ds_time_tags": [ 2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022 ], "ds_contributors": [ { "true_name": "马宁", "email": "ma.n2007@aliyun.com", "work_for": "中国科学院地理科学与资源研究所", "country": "中国" }, { "true_name": "Jozsef Szilagyi", "email": "jszilagyi1@unl.edu", "work_for": "Budapest University of Technology and Economics", "country": "中国" }, { "true_name": "张永强", "email": "zhangyq@igsnrr.ac.cn", "work_for": "中国科学院地理科学与资源研究所", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "马宁", "email": "ningma@igsnrr.ac.cn", "work_for": "中国科学院地理科学与资源研究所", "country": "中国" }, { "true_name": "Jozsef Szilagyi", "email": "jszilagyi1@unl.edu", "work_for": "Budapest University of Technology and Economics", "country": "中国" }, { "true_name": "张永强", "email": "zhangyq@igsnrr.ac.cn", "work_for": "中国科学院地理科学与资源研究所", "country": "中国" } ], "ds_managers": [ { "true_name": "马宁", "email": "ningma@igsnrr.ac.cn", "work_for": "中国科学院地理科学与资源研究所", "country": "中国" } ], "category": "水文" }