microclim: Global estimates of hourly microclimate based on long-term monthly climate averages
| Autor: | Andrew P. Isaac, Michael R. Kearney, Warren P. Porter |
|---|---|
| Rok vydání: | 2014 |
| Předmět: |
Statistics and Probability
Periodicity Data Descriptor Hot Temperature Temperature Diffuse sky radiation Microclimate Humidity Wind Library and Information Sciences Atmospheric sciences Substrate (marine biology) Wind speed Computer Science Applications Education Term (time) Air temperature Animals Environmental science Relative humidity Statistics Probability and Uncertainty Information Systems |
| Zdroj: | Scientific Data |
| ISSN: | 2052-4463 |
| DOI: | 10.1038/sdata.2014.6 |
| Popis: | The mechanistic links between climate and the environmental sensitivities of organisms occur through the microclimatic conditions that organisms experience. Here we present a dataset of gridded hourly estimates of typical microclimatic conditions (air temperature, wind speed, relative humidity, solar radiation, sky radiation and substrate temperatures from the surface to 1 m depth) at high resolution (~15 km) for the globe. The estimates are for the middle day of each month, based on long-term average macroclimates, and include six shade levels and three generic substrates (soil, rock and sand) per pixel. These data are suitable for deriving biophysical estimates of the heat, water and activity budgets of terrestrial organisms. |
| Databáze: | OpenAIRE |
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