Data

Introduction Where to find the data How to use the data Introduction I have seen more and more papers utilizing satellite imagery data, especially in the environmental economics domain. There are many benefits of using those imagery data and one of such is their very much fine-scaled and consistent spatial and temporal resolutions.

Note that almost all the data can be found at NASA’s Earthdata Search Climate data gridMET (historical) MACA (projected) WorldClim (historical + projected) Historical data Projected data NEX-GDDP from NASA ERA5-Land Hourly Data (historical) Air pollution data Natural disaster data EM-DAT: A complete dataset for disasters NOAA NCEI Storm Events Database International Best Track Archive for Climate Stewardship (IBTrACS) The Tropical Cyclone Extended Best Track Dataset (EBTRK) Fire and Resource Assessment Program (FRAP) in California FireCCILT11 Long-term Burned Area Dataset Hazard Mapping System Fire and Smoke Product (recommended) Natural resource data FAO Land Data - Global Agro-Ecological Zones (GAEZ v4) Vegetation products Landsat Normalized Difference Vegetation Index (NDVI) NOAA Vegetation Products Note that almost all the data can be found at NASA’s Earthdata Search Climate data gridMET (historical) gridMET is a dataset of daily high-spatial resolution (~4-km, 1/24th degree) surface meteorological data covering the contiguous US from 1979-yesterday (updated daily).

Data on PM5.2 Global Annual PM2.5 Grids from MODIS, MISR and SeaWiFS Aerosol Optical Depth (AOD) with GWR, v1 (1998 –2016) MODIS Moderate Resolution Imaging Spectroradiometer Tracking Air Pollution in China Data on SO2 OMI/Aura Sulphur Dioxide (SO2) Total Column Daily L2 Global Gridded 0.

An integrated national mortality surveillance system by CCDC China Health Insurance Research Association (CHIRA) The impacts of climate change and air pollution on human health have gained privilege in the environmental economics literature.

Database of Global Administrative Areas (GADM) Natural Earth This post documents interesting sources for world-level, country-level, and sub-national level (i.e., states/provinces, cities, counties, etc) maps (administrative areas) data. It could be particularly useful when you are trying to downscale gridded data to specific geographical levels in spatial analysis.

Introduction China Health and Nutrition Survey (CHNS) Chinese Longitudinal Healthy Longevity Survey (CLHLS) Chinese General Social Survey (CGSS) Urban Household Survey (UHS) Chinese Family Panel Studies (CFPS) China Health and Retirement Longitudinal Study (CHARLS) China Longitudinal Aging Social Survey (CLASS) The China Urban Labor Survey (CULS) The Chinese Social Survey (CSS) Rural-Urban Migration in China China Education Panel Survey Chinese Household Income Project Chinese Household Income Project Introduction This section is designated to summerize commonly used mirco data for China.