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    Google Earth Engine——美国国家环境预测中心(NCEP,前身为 “NMC“)和美国国家大气研究中心(NCAR)海平面气压数据集

    The NCEP/NCAR Reanalysis Project is a joint project between the National Centers for Environmental Prediction (NCEP, formerly "NMC") and the National Center for Atmospheric Research (NCAR). The goal of this joint effort is to produce new atmospheric analyses using historical data as well as to produce analyses of the current atmospheric state (Climate Data Assimilation System, CDAS). The NCEP/NCAR Reanalysis 1 project is using a state-of-the-art analysis/forecast system to perform data assimilation using past data from 1948 to the present. The data have 6-hour temporal resolution (0000, 0600, 1200, and 1800 UTC) and 2.5 degree spatial resolution.

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    Google Earth Engine——AVHRR探路者5.3版海面温度数据集(PFV53)是由NOAA国家海洋学数据中心和迈阿密大学罗森斯蒂尔海洋与大气科学学院合作制作的全球每日两次的4公里数据

    The AVHRR Pathfinder Version 5.3 Sea Surface Temperature dataset (PFV53) is a collection of global, twice-daily 4km sea surface temperature data produced in a partnership by the NOAA National Oceanographic Data Center and the University of Miami's Rosenstiel School of Marine and Atmospheric Science. PFV53 was computed from data from the AVHRR instruments on board NOAA's polar orbiting satellite series using an entirely modernized system based on SeaDAS. PFV53 data are nearly 100% compliant with the GHRSST Data Specification Version 2.0 for L3C products and only deviate from that standard in that 'sses_bias', 'sses_standard_deviation', and 'sst_dtime' variables are empty and hence not included into EE assets. PFV53 data were collected through the operational periods of the NOAA-7 through NOAA-19 Polar Operational Environmental Satellites (POES), and are available from 1981 to 2014. Additional information is available at the [NOAA Pathfinder site] (NODC Pathfinder SST Data).

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    Google Earth Engine(GEE)——全球沿海河流和环境变量一个包含5399条沿海河流和8个环境变量数据的全球数据集。

    全球沿海河流和环境变量¶。 一个包含5399条沿海河流和8个环境变量数据的全球数据集。在这些河流中,40%(n=2174)有地貌三角洲,其定义是突出于区域海岸线、分布的河道网络,或两者兼有。在全球范围内,平均每300公里的海岸线就有一个三角洲,但也有三角洲形成的热点,例如在东南亚,每100公里的海岸线就有一个三角洲。我们的分析表明,一条河流形成三角洲的可能性随着排水量、沉积物排放量和排水流域面积的增加而增加。另一方面,三角洲的可能性随着波高和潮汐范围的增加而减少。三角洲的可能性与受水盆地的坡度有着非单调的关系:坡度越大,三角洲的可能性就越小,但对于坡度大于0.006的情况,三角洲的可能性就会增加。这反映了在主动和被动边缘上对三角洲形成的不同控制。

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