通过收集MERRA、ERA-Interim和CFSR三套气象数据驱动干旱区生态模型AEM得到的1980-2014年中国干旱区碳库分布数据集（空间分辨率50km），并和现有文献资料对数据质量进行分析和评估。本数据集主要有中国干旱区1980-2014年碳库分布栅格图（MERRA、ERA-Interim和CFSR），研究区大致空间范围为30°N–50°N，70°E–110°E，包括中国新疆、甘肃西北部以及内蒙的西南部。
", "ds_source": "AEM模型的驱动数据集包括：气象数据集（日最高气温℃、日最低气温℃、日平均气温℃、降水mm/day、短波辐射W·m−2/day、相对湿度%），地形数据（高程、坡向和坡度），土壤质地（粉砂、粘土和砂土），植被功能类型图，CO2浓度等。模型输入数据的时间分辨率为日尺度，输出数据的时间分辨率为年尺度。\n地形数据包括：坡度、坡向、高程等数据，高程数据来源于ASTER (the Advanced Space-borne Thermal Emission and Reflection Radiometer ) 30m 全球高程数据集和全球数字高程数据集version 2 (ASTER GDEM, v2, Industry (METI) of Japan and the United States National Aeronautics and Space Administration (NASA))。
", "ds_process_way": "统一数据空间分辨率，优化AEM模型的关键生理生态参数，模拟并分析数据。
", "ds_quality": "本数据质量良好
", "ds_acq_start_time": "1980-01-01 00:00:00", "ds_acq_end_time": "2014-12-31 00:00:00", "ds_acq_place": "中国新疆、甘肃北部以及内蒙古西北部", "ds_acq_lon_east": 110.0, "ds_acq_lat_south": 30.0, "ds_acq_lon_west": 70.0, "ds_acq_lat_north": 50.0, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "apply-access", "ds_total_size": 450921, "ds_files_count": 3, "ds_format": "栅格", "ds_space_res": "50000.0m", "ds_time_res": "", "ds_coordinate": "WGS84", "ds_projection": "", "ds_thumbnail": "fbaf81d8-976d-44d7-bfbe-ade8b0cc2280.jpg", "ds_thumb_from": 0, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": "None", "ds_from_station": null, "organization_id": "52b7b79b-860c-49a5-9083-9a70cf8bed5a", "ds_serv_man": "敏玉芳", "ds_serv_phone": "0931-4967596", "ds_serv_mail": "ncdc@lzb.ac.cn", "doi_value": "", "subject_codes": null, "quality_level": 3, "publish_time": "2021-01-09 14:57:08", "last_updated": "2023-08-23 17:02:38", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.ncdc.nieer.2020.1458", "i18n": { "en": { "title": "Spatial data set of ecological carbon pool and carbon source sink dynamics in arid areas of Western China under the influence of climate change (1980-2014)", "ds_format": "", "ds_source": "The driving data set of AEM model includes: meteorological data set (daily maximum temperature ℃, daily minimum temperature ℃, daily average temperature ℃, precipitation m m / day, short wave radiation w · m − 2 / day, relative humidity%), terrain data (elevation, slope direction and gradient), soil texture (silt, clay and sand), vegetation function type map, CO2 concentration, etc. The time resolution of model input data is daily scale, and that of output data is annual scale.\nTerrain data includes: slope, aspect, elevation and other data. Elevation data comes from the 30m global elevation data set of Aster (the advanced space borne thermal emission and Reflection Radiometer) and version 2 (Aster GDEM, V2, industry (METI) of Japan and the United States National Aeronautics and Space Administration (NASA)).
", "ds_quality": "The data quality is good
", "ds_ref_way": "", "ds_abstract": "The data set (spatial resolution: 50km) of carbon pool distribution in arid areas of China from 1980 to 2014 was obtained by collecting three sets of meteorological data, namely, merra, era interim and CFSR, which were used to drive the AEM of arid area ecological model, and the data quality was analyzed and evaluated with the existing literature. This data set mainly includes the grid map of carbon pool distribution (merra, era interim and CFSR) in China's arid areas from 1980 to 2014. The study area covers an approximate spatial range of 30 ° n – 50 ° N and 70 ° e – 110 ° e, including Xinjiang, northwest Gansu and southwest Inner Mongolia. The spatial resolution is 50km, and the geographical coordinate system is wgs1984
", "ds_time_res": "", "ds_acq_place": "", "ds_space_res": "50000.0m", "ds_projection": "", "ds_process_way": "Unify spatial resolution of data, optimize key physiological and ecological parameters of AEM model, simulate and analyze data.
", "ds_ref_instruction": " \nIn order to protect the rights and interests of the platform's scientific and technological resources, expand the service of the platform center, and enhance the application potential of the scientific and technological resources, resource users are requested to clearly indicate the resource sources and resource authors in the research results (including published papers, works, data products and unpublished research reports, data products and other results) produced by using the resources." } }, "submit_center_id": "ncdc", "data_level": 0, "license_type": "https://creativecommons.org/licenses/by/4.0/", "doi_reg_from": "reg_local", "cstr_reg_from": "reg_local", "doi_not_reg_reason": null, "cstr_not_reg_reason": null, "is_paper_in_submitting": false, "ds_topic_tags": [ "干旱", "AEM模型", "碳库" ], "ds_subject_tags": [ "自然地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "新疆", "内蒙古西北部", "甘肃北部" ], "ds_time_tags": [ 1980, 1981, 1982, 1983, 1984, 1985, 1986, 1987, 1988, 1989, 1990, 1991, 1992, 1993, 1994, 1995, 1996, 1997, 1998, 1999, 2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014 ], "ds_contributors": [ { "true_name": "方霞", "email": "", "work_for": "中国科学院新疆生态与地理研究所", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "方霞", "email": "", "work_for": "中国科学院新疆生态与地理研究所", "country": "中国" } ], "ds_managers": [ { "true_name": "张弛", "email": "zc@ms.xjb.ac.cn", "work_for": "中国科学院新疆生态与地理研究所", "country": "中国" }, { "true_name": "方霞", "email": "", "work_for": "中国科学院新疆生态与地理研究所", "country": "中国" } ], "category": "气象" }