本数据集是以中国典型干旱区新疆为研究区，分别以MERRA、ERA-Interim和CFSR作为模型的气象驱动数据用以驱动干旱区生态系统模型AEM，模拟得到新疆干旱区生态系统2000-2014年净初级生产力（NPP）的变化特征和空间分布数据集。研究区空间范围为34.3°– 49.5°N，73.5°– 96.3°E。空间分辨率均是50km，地理坐标系为WGS1984。
\n\n数据集包括新疆2000-2014年NPP栅格图（MERRA、ERA-Interim和CFSR）。
", "ds_source": "驱动AEM模型的数据主要有气象数据、地形数据、土壤质地数据、新疆植被功能类型图以及CO2浓度等，其中气象资料来源于美国国家航空航天局的MERRA再分析数据，美国国家环境预报中心（NCEP）的CFSR再分析数据和欧洲中期数值预报中心的ERA-Interim再分析数据。
\n\n模型所需的土壤数据主要有土壤砂土含量、土壤粘土含量、土壤粉砂含量以及土壤pH值等。数据源自于version 1.2全球土壤数据集。
\n\n新疆植被功能类型图来自于1:100万的中国植被图。
\n\n模型输入的地形数据主要有坡度、坡向和高程等数据，高程数据来源于30m 全球高程数据集和全球数字高程数据集version 2。
\n\n模型所需的CO2 浓度数据源于美国Mauna Loa观测台观测的全球年平均浓度数据(http://co2now.org)。
", "ds_process_way": "AEM模型驱动与中国干旱区碳库模拟
", "ds_quality": "", "ds_acq_start_time": "2000-01-01 00:00:00", "ds_acq_end_time": "2014-12-31 00:00:00", "ds_acq_place": "新疆", "ds_acq_lon_east": 96.26666666666667, "ds_acq_lat_south": 34.266666666666666, "ds_acq_lon_west": 73.5, "ds_acq_lat_north": 49.5, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "apply-access", "ds_total_size": 1741683, "ds_files_count": 4, "ds_format": "栅格", "ds_space_res": "50000.0m", "ds_time_res": "", "ds_coordinate": "WGS84", "ds_projection": "", "ds_thumbnail": "7c355793-e37c-4566-aa10-ee861ae72029.png", "ds_thumb_from": 0, "ds_ref_way": "", "paper_ref_way": "", "ds_ref_instruction": null, "ds_from_station": null, "organization_id": "52b7b79b-860c-49a5-9083-9a70cf8bed5a", "ds_serv_man": "敏玉芳", "ds_serv_phone": "0931-4967597", "ds_serv_mail": "myf@lzb.ac.cn", "doi_value": "", "subject_codes": null, "quality_level": 3, "publish_time": "2020-12-18 11:15:24", "last_updated": "2023-08-23 17:02:26", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.ncdc.nieer.2020.1358", "i18n": { "en": { "title": "Xinjiang NPP data set (2000-2014)", "ds_format": "", "ds_source": "The data driving the AEM model mainly include meteorological data, topographic data, soil texture data, vegetation functional type map of Xinjiang and CO2 concentration, among which the meteorological data are from the Mera reanalysis data of NASA, the CFSR reanalysis data of NCEP and the era interim reanalysis data of ecmpc.
\nThe soil data needed for the model mainly include soil sand content, soil clay content, soil silt content and soil pH value. The data is derived from the version 1.2 global soil dataset.
\nThe functional type map of vegetation in Xinjiang comes from the 1:1 million vegetation map of China.
\nThe terrain data input by the model mainly includes slope, aspect and elevation data. The elevation data comes from 30m global elevation data set and version 2 global digital elevation data set.
\nThe CO2 concentration data required for the model are derived from the global annual average concentration data observed at Mauna Loa Observatory in the United States (http://co2now.org).
", "ds_quality": "", "ds_ref_way": "", "ds_abstract": "This data set is based on Xinjiang, a typical arid area in China, and uses the weather driven data of the model of merra, era interim and CFSR to drive the AEM of the arid area ecosystem. The change characteristics and spatial distribution data set of the net primary productivity (NPP) of the arid area ecosystem in Xinjiang from 2000 to 2014 are simulated. The spatial range of the study area is 34.3 ° – 49.5 ° n, 73.5 ° – 96.3 ° E. The spatial resolution is 50km, and the geographical coordinate system is wgs1984.
\nThe dataset includes Xinjiang 2000-2014 NPP grid map (merra, era interim and CFSR).
", "ds_time_res": "", "ds_acq_place": "", "ds_space_res": "50000.0m", "ds_projection": "", "ds_process_way": "AEM model driving and carbon pool simulation in arid areas of China
", "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": "CC 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": [ "新疆", "AEM模型", "NPP" ], "ds_subject_tags": [ "自然地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "新疆" ], "ds_time_tags": [ 2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014 ], "ds_contributors": [ { "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": "何彪", "email": "", "work_for": "新疆工程学院", "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" } ], "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" } ], "category": "基础地理" }