Terraclimate 用于+2C和+4C气候未来的个别年份
TerraClimate层与全球平均温度比工业化前水平高+2C和+4C相称。这些数据可用于1985-2015年的假想年。未来的气候预测是针对两种不同的未来气候制定的：(1)当全球平均气温比工业化前高2C时，以及(2)当全球平均气温比工业化前高4C时。我们使用模式缩放的方法，利用Qin等人，2020中描述的23个CMIP5全球气候模型的月度预测，并通过强加从模式的平均值和方差的预测变化来提供对月度气候的预测，这些预测可扩展到全球温度的变化。前言 – 床长人工智能教程你可以在这里找到更多信息https://www.climatologylab.org/terraclimate.html
这个数据有两个链接
This data is at two links
Citation¶
Abatzoglou, J.T., S.Z. Dobrowski, S.A. Parks, K.C. Hegewisch, 2018, Terraclimate, a high-resolution global dataset of monthly climate and climatic water
balance from 1958-2015, Scientific Data
数据预处理
我们创建了一个自动脚本来获取所有的数据集，其中包含31个年度NetCDF文件，每个文件有12个波段，代表每个变量的一个月份。每个变量的netcdf文件被转换成Geotifs，并带有全局边界和lzw压缩。这些数据集可用于2C和4C情景，并将比例和偏移量作为元数据添加到每个数据集中，以便在下面的变量列表中提到的适当单位中进行处理。
变量清单¶
Terraclimate变量和单位可在下表中找到。正如他们的网页所指出的，这些数据集有相关的刻度和偏移值，必须用来在预定的单位中生成变量数据的正确表示。作为数据处理的一部分，变量比例和偏移值被作为每个变量的元数据，然后可以直接应用于计算。
| variable | units |
|---|---|
| aet (Actual Evapotranspiration, monthly total) | mm |
| def (Climate Water Deficit, monthly total) | mm |
| pet (Potential evapotranspiration, monthly total) | mm |
| ppt (Precipitation, monthly total) | mm |
| q (Runoff, monthly total) | mm |
| soil (Soil Moisture, total column - at end of month) | mm |
| srad (Downward surface shortwave radiation) | W/m2 |
| swe (Snow water equivalent - at end of month) | mm |
| tmax (Max Temperature, average for month) | C |
| tmin (Min Temperature, average for month) | C |
| vap (Vapor pressure, average for month) | kPa |
| ws (Wind speed, average for month) | m/s |
| vpd (Vapor Pressure Deficit, average for month) | kpa |
| PDSI (Palmer Drought Severity Index, at end of month) | unitless |
| PDSI (Palmer Drought Severity Index, at end of month) | unitless |
Earth Engine Snippet¶
var aet_2c = ee.ImageCollection("projects/sat-io/open-datasets/TERRACLIMATE/2C/aet");
var def_2c = ee.ImageCollection("projects/sat-io/open-datasets/TERRACLIMATE/2C/def");
var pet_2c = ee.ImageCollection("projects/sat-io/open-datasets/TERRACLIMATE/2C/pet");
var ppt_2c = ee.ImageCollection("projects/sat-io/open-datasets/TERRACLIMATE/2C/ppt");
var soil_2c = ee.ImageCollection("projects/sat-io/open-datasets/TERRACLIMATE/2C/soil");
var srad_2c = ee.ImageCollection("projects/sat-io/open-datasets/TERRACLIMATE/2C/srad");
var swe_2c = ee.ImageCollection("projects/sat-io/open-datasets/TERRACLIMATE/2C/swe");
var tmax_2c = ee.ImageCollection("projects/sat-io/open-datasets/TERRACLIMATE/2C/tmax");
var tmin_2c = ee.ImageCollection("projects/sat-io/open-datasets/TERRACLIMATE/2C/tmin");
var vap_2c = ee.ImageCollection("projects/sat-io/open-datasets/TERRACLIMATE/2C/vap");
var vpd_2c = ee.ImageCollection("projects/sat-io/open-datasets/TERRACLIMATE/2C/vpd");
var aet_4c = ee.ImageCollection("projects/sat-io/open-datasets/TERRACLIMATE/4C/aet");
var def_4c = ee.ImageCollection("projects/sat-io/open-datasets/TERRACLIMATE/4C/def");
var pet_4c = ee.ImageCollection("projects/sat-io/open-datasets/TERRACLIMATE/4C/pet");
var ppt_4c = ee.ImageCollection("projects/sat-io/open-datasets/TERRACLIMATE/4C/ppt");
var soil_4c = ee.ImageCollection("projects/sat-io/open-datasets/TERRACLIMATE/4C/soil");
var swe_4c = ee.ImageCollection("projects/sat-io/open-datasets/TERRACLIMATE/4C/swe");
var tmax_4c = ee.ImageCollection("projects/sat-io/open-datasets/TERRACLIMATE/4C/tmax");
var tmin_4c = ee.ImageCollection("projects/sat-io/open-datasets/TERRACLIMATE/4C/tmin");
var vpd_4c = ee.ImageCollection("projects/sat-io/open-datasets/TERRACLIMATE/4C/vpd");
License¶
This work is licensed under a public domain license.
Created by: Abatzoglou, J.T., S.Z. Dobrowski, S.A. Parks, K.C. Hegewisch
Preprocessed and Curated in GEE by : Samapriya Roy
Keywords: Climate futures, +2C, +4C, TerraClimate
Last updated: 2021-04-15
Last updated on GEE: 2022-04-27