本数据集为1981-2099年青藏高原多年冻土区高寒草地生态系统对气候变化(RCP2.6,RCP4.5,RCP8.5)的响应数据,使用RCP2.6,RCP4.5以及RCP8.5排放情景下多个GCM输出的大气变量的平均值驱动陆地生态系统模式,模拟1981至2099年间青藏高原多年冻土地区高寒草地生态系统的变化。该模式考虑了多年冻土对气候变化的响应、土壤水热对多年冻土变化的响应、植被和土壤水热的相互作用等过程。本数据集包含了多年冻土环境（活动层厚度、地下水位深度、不同层的土壤温度和湿度等变量）以及生态系统（净第一性生产力，植被碳库、土壤碳库等）,模式时间步长为月,输出数据集时间步长为年,空间分辨率为0.5度。共3个netcdf格式文件。
", "ds_source": "本数据集使用Dynamic Organic Soil Terrestrial Ecosyste Model (DOS-TEM)来模拟获得。DOS-TEM由4个模块组成，但在青藏高原只使用了环境模块和生态模块。环境模块模拟了土壤的水、热过程，以及地表的径流,蒸散发等。生态模块使用土壤和大气环境变量模拟了大气、植被和土壤间的碳、氮交换以及植被和土壤碳、氮库的变化。
", "ds_process_way": "模式以月尺度的大气气温、降水、辐射和水汽压作为输入。TEM系列模式是设计用来模拟植被和土壤的碳、氮库,以及大气-植被-土壤间的碳、氮通量。一般而言不同版本的TEM用月时间步长的大气变量进行驱动,例如大气温度, 辐射,降水和水汽压。 在环境子模式里面月时间步长大气驱动被降尺度到日尺度,该子模式考虑了大气-冠层-积雪和土壤间的辐射和水通量交换。土壤水分和温度每天更新一次。双向Stefan算法用于计算土壤中冻融锋面的位置。土壤水分使用Richard方程进行更新,但假设冻结土壤中水分不变。土壤的冻融状态和水分影响土壤的水、热参数。
", "ds_quality": "在单点运行陆地生态系统模式，与实地观测的土壤温度、水分，净第一性生产力、植被碳、氮库以及土壤碳氮库进行了对比，验证了模式的可靠性。土壤温度的验证使用了21个青藏高原气象台站进行了验证,在5,20,40和80cm土壤处，模拟值和观测值的均方根误差分别为1.7,1.7,2.1和2.4度。生态部分使用了青藏高原的五道梁和沱沱河地区观测进行了验证。模拟值和观测值相差约为10%左右。验证部分工作发表在Yi et al., 2013, JGRYi Shuhua,Li Naijie,Xiang Bo,Wang X。
", "ds_acq_start_time": "1981-01-01 00:00:00", "ds_acq_end_time": "2099-12-31 00:00:00", "ds_acq_place": "中国，青藏高原", "ds_acq_lon_east": 93.26055555555556, "ds_acq_lat_south": 35.28666666666666, "ds_acq_lon_west": 93.26944444444445, "ds_acq_lat_north": 35.296388888888885, "ds_acq_alt_low": null, "ds_acq_alt_high": null, "ds_share_type": "apply-access", "ds_total_size": 116214228, "ds_files_count": 5, "ds_format": "nc", "ds_space_res": null, "ds_time_res": "年", "ds_coordinate": "无", "ds_projection": "", "ds_thumbnail": "5abef388-3f3f-4802-b3de-f4d233cb333b.png", "ds_thumb_from": 0, "ds_ref_way": "宜树华，1981-2099年青藏高原多年冻土区高寒草地生态系统对气候变化(RCP2.6,RCP4.5,RCP8.5)的响应，国家冰川冻土沙漠科学数据中心(www.ncdc.ac.cn)，2020，doi：10.12072/ncdc.CCI.db0006.2020", "paper_ref_way": "", "ds_ref_instruction": "", "ds_from_station": null, "organization_id": "b3c14ec7-0cc1-417f-8986-b6fc1352242f", "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": "2020-12-03 08:51:52", "last_updated": "2020-12-04 14:32:48", "protected": false, "protected_to": null, "lang": "zh", "cstr": "11738.11.ncdc.CCI.2020.66", "i18n": { "en": { "title": "Response of alpine grassland ecosystem to climate change (rcp2.6, rcp4.5, rcp8.5) in permafrost region of Qinghai Tibet Plateau from 1981 to 2099", "ds_format": "", "ds_source": "This data set was simulated using the dynamic organic soil terrestrial ecosystem model (dos-tem). Dos-tem consists of four modules, but only environmental module and ecological module are used in the Qinghai Tibet Plateau. The environmental module simulates the soil water and heat processes, as well as the surface runoff, evapotranspiration and so on. The ecological module uses soil and atmospheric environmental variables to simulate the exchange of carbon and nitrogen between atmosphere, vegetation and soil, and the changes of carbon and nitrogen pools of vegetation and soil.
", "ds_quality": "The reliability of the first model of soil moisture and nitrogen storage was verified by the field observation of soil moisture and nitrogen. The validation of soil temperature was carried out by 21 meteorological stations on the Qinghai Tibet Plateau. The root mean square errors of simulated and observed values were 1.7, 1.7, 2.1 and 2.4 degrees at 5, 20, 40 and 80 cm soil layers, respectively. The ecological part is verified by the observation in Wudaoliang and Tuotuohe areas of Qinghai Tibet Plateau. The difference between the simulated and observed values is about 10%. The verification work was published in Yi et al., 2013, jgryi Shuhua, Li Naijie, Xiang Bo, Wang X
", "ds_ref_way": "", "ds_abstract": "This data set is the response data of alpine grassland ecosystem to climate change (rcp2.6, rcp4.5, rcp8.5) in the permafrost region of the Qinghai Tibet Plateau from 1981 to 2099. The terrestrial ecosystem model is driven by the average values of atmospheric variables output by several GCMS under the emission scenarios of rcp2.6, rcp4.5 and rcp8.5 to simulate the changes of Alpine Grassland Ecosystem in permafrost regions of the Qinghai Tibet Plateau from 1981 to 2099. The model considers the response of permafrost to climate change, the response of soil water and heat to the change of permafrost, and the interaction between vegetation and soil water and heat. The data set includes permafrost environment (active layer thickness, groundwater depth, soil temperature and humidity of different layers) and ecosystem (net primary productivity, vegetation carbon pool, soil carbon pool, etc.), the time step of the model is month, the time step of output data set is year, and the spatial resolution is 0.5 degree. There are three NetCDF files in total.
", "ds_time_res": "年", "ds_acq_place": "Qinghai Tibet Plateau, China", "ds_space_res": "", "ds_projection": "", "ds_process_way": "The model takes monthly atmospheric temperature, precipitation, radiation and vapor pressure as input. TEM series models are designed to simulate the carbon and nitrogen pools of vegetation and soil, and the carbon and nitrogen fluxes between atmosphere, vegetation and soil. In general, different versions of tem are driven by monthly time step atmospheric variables, such as atmospheric temperature, radiation, precipitation and water vapor pressure. In the environmental sub model, the monthly time step atmospheric driving is downscaled to the daily scale, which considers the exchange of radiation and water flux between atmosphere, canopy, snow and soil. Soil moisture and temperature are updated daily. The bidirectional Stefan algorithm is used to calculate the position of freeze-thaw front in soil. Soil moisture was updated using Richard's equation, but it was assumed that the water content in frozen soil was constant. The freeze-thaw state and water content of soil affect soil water and heat parameters.
", "ds_ref_instruction": " \n" } }, "submit_center_id": "ncdc", "data_level": 0, "recommendation_value": 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, "belong_to_nieer": false, "ds_topic_tags": [ "气候变化，青藏高原，生产力，碳源汇" ], "ds_subject_tags": [ "自然地理学" ], "ds_class_tags": [], "ds_locus_tags": [ "西藏，青海，青藏高原" ], "ds_time_tags": [ 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, 2015, 2016, 2017, 2018, 2019, 2020, 2021, 2022, 2023, 2024, 2025, 2026, 2027, 2028, 2029, 2030, 2031, 2032, 2033, 2034, 2035, 2036, 2037, 2038, 2039, 2040, 2041, 2042, 2043, 2044, 2045, 2046, 2047, 2048, 2049, 2050, 2051, 2052, 2053, 2054, 2055, 2056, 2057, 2058, 2059, 2060, 2061, 2062, 2063, 2064, 2065, 2066, 2067, 2068, 2069, 2070, 2071, 2072, 2073, 2074, 2075, 2076, 2077, 2078, 2079, 2080, 2081, 2082, 2083, 2084, 2085, 2086, 2087, 2088, 2089, 2090, 2091, 2092, 2093, 2094, 2095, 2096, 2097, 2098, 2099 ], "ds_contributors": [ { "true_name": "宜树华", "email": "yis@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" } ], "ds_meta_authors": [ { "true_name": "宜树华", "email": "yis@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" } ], "ds_managers": [ { "true_name": "宜树华", "email": "yis@lzb.ac.cn", "work_for": "中国科学院西北生态环境资源研究院", "country": "中国" } ], "category": "生态" }