research_data

This repository shares the data in my researches published.

Land surface temperature

• Land surface temperature on July 10, 2017, Beijing, China, retrieved from the Landsat 8 image with a spatial resolution of 30 m.
  
  • Available at: https://drive.google.com/file/d/1emj4Wk7IhogBqoLmo9VbO7tLKIb6GrV0/view?usp=sharing
    
  • Data citation: Zhao, J., Zhao, X., Liang, S., Zhou, T., Du, X., Xu, P. and Wu, D., 2020. Assessing the thermal contributions of urban land cover types. Landscape and Urban Planning, 204, p.103927.
    

Surface parameters of urban green spaces (UGSs) in Beijing main city from 1984 to 2020

• Time series data including the normalized difference vegetation index (NDVI), land surface temperature (LST), evapotranspiration (ET) and albedo.
  
  • Available at: https://drive.google.com/file/d/1X9-EcTeK3nPrNHvJWtMUhk-jRToSIg3F/view?usp=sharing
    
  • Data citation: Zhao, J., Zhao, X., Liang, S., Wang, H., Liu, N., Liu, P. and Wu, D., 2021. Dynamic Cooling Effects of Permanent Urban Green Spaces in Beijing, China. Remote Sensing, 13(16), p.3282.
    

Multi-Source Weather (MSWX) historical monthly meteorological product from 2000 to 2020

• High-resolution (0.1°), bias-corrected meteorological product based on ERA5 and CHELSA with global coverage from 1979 to now. Currently I only processed the data from 2000 to 2020.
  

  • Dataset access in Google Earth Engine (GEE)
    Image Collection id: projects/ee-jzhao-external-dataset/assets/raster/mswx/past/monthly
    

  • Usage

  var mswxMonthly = ee.ImageCollection('projects/ee-jzhao-external-dataset/assets/raster/mswx/past/monthly').filterDate('2020-07-01', '2020-08-01');
  var visualization = {
      bands: ['b1'],
      min: 0,
      max: 35,
      palette: [
          "#000080", "#0000D9", "#4000FF", "#8000FF", "#0080FF", "#00FFFF",
          "#00FF80", "#80FF00", "#DAFF00", "#FFFF00", "#FFF500", "#FFDA00",
          "#FFB000", "#FFA400", "#FF4F00", "#FF2500", "#FF0A00", "#FF00FF",
      ]
   };
   Map.setCenter(22.2, 21.2, 2);
   Map.addLayer(mswxMonthly, visualization, '2-m Air Temperature');

  • Band specifics

Band Name	Description	Unit
b1	2-m air temperature	°C
b2	2-m maximum daily air temperature at	°C
b3	2-m minimum daily air temperature at	°C
b4	surface pressure	Pa
b5	precipitation	mm
b6	2-m relative humidity	%
b7	2-m specific humidity	g/g
b8	downward longwave radiation	W/m2
b9	downward shortwave radiation	W/m2
b10	10-m wind speed	m/s

• MSWX is released under the Creative Commons Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) license. Please contact the authors if you are affiliated with a commercial entity and want to use MSWX. If you do not have a commercial affiliation and you intend to use the product for non-commercial purposes, please send the authors a request (request frame can be found in the Data license section at the website). You will receive a link to the Google Drive containing MSWX once your request has been approved.
• Data citation
  Beck, H.E., van Dijk, A.I., Larraondo, P.R., McVicar, T.R., Pan, M., Dutra, E. and Miralles, D.G., 2021. MSWX: global 3-hourly 0.1° bias-corrected meteorological data including near real-time updates and forecast ensembles. Bulletin of the American Meteorological Society, pp.1-55.