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01-intro.Rmd
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---
pagetitle: "Microclimate datasets"
---
# Microclimate datasets
This user's guide facilitates accessing the microclimate datasets in the table below. We detail the spatial and temporal coverage. Our complementary [R shiny application](https://map.trenchproject.com/RShiny_Microclim/) allows more in-depth comparing all methods both temporally and spatially to help select a dataset that best meets your needs.
```{r echo = FALSE, message=FALSE, warnings=FALSE, results='asis', out.width="75%"}
library(kableExtra)
library(magrittr)
tabl <- "
| |**Spatial coverage**|**Spatial resolution**|**Temporal Coverage**|**Temporal resolution**
:-----:|:-----:|:-----:|:-----:|:-----:
ERA-5 Land|Global|0.1° x 0.1°|1981-now|hourly
GLDAS|Global|0.25° x 0.25°|1948 - 3-months behind current|3-Hourly
GRIDMET|US only|0.04° x 0.04°|1979 - yesterday|Daily
NicheMapR microclimate functions|Global|30m coarsest, 3m finest|1957 - now|Hourly
NOAA NCDC|Global|One location (lat, lon)|Varies|Varies
SNODAS|US only|1km x 1km|Sep. 2003 - now|Daily
microclim|Global|15km x 15km|1 day each month of 1 year|Hourly for 1 day
microclimUS|US only|4km x 4km|1979 - 2017|Hourly
NCEP|Global|2.5° x 2.5°|1948/01/01 - current|6-Hourly
NEW01|Global|10' x 10'|1961 - 1990|Monthly
"
#knitr::kable(tabl, caption = "Datasets")
cat(tabl)
```
<!-- {r echo = FALSE, message=FALSE, warnings=FALSE, results='asis'} -->
<!-- library(formattable) -->
<!-- library(magrittr) -->
<!-- `ERA-5 Land` <- c("Global", "0.1° x 0.1°", "2m above - 289cm below", "0-7cm, 7-28cm, 28-100cm, 100-289cm", "1981-now", "hourly", "Wind,dewpoint, temp, evap, soil water, snow, many variables: etc") -->
<!-- `GLDAS 2.0` <- c("Global", "0.25° x 0.25°", "Surface - 200cm below", "10cm, 40cm, 100cm, 200cm", "1948 - 2014", "3-Hourly", "Many (see list below)") -->
<!-- `GLDAS 2.1` <- c("Global", "0.25° x 0.25°", "Surface - 200cm below", "10cm, 40cm, 100cm, 200cm", "2000 - 3-months behind current", "3-Hourly", "Many (see list below)") -->
<!-- df <- rbind(`ERA-5 Land`, `GLDAS 2.0`, `GLDAS 2.1`) %>% as.data.frame() -->
<!-- colnames(df) <- c("Horizontal coverage", "Horizontal resolution", "Vertical coverage", "Vertical resolution", "Temporal Coverage", "Temporal resolution", "Variables") -->
<!-- table <- formattable(df, -->
<!-- list(`Horizontal coverage` = formatter( -->
<!-- "span", style = x ~ style(color = ifelse(x == "Flowers between April and May", '#41ab5d', -->
<!-- ifelse(x == "Flowers between May and June", '#006d2c', '#00441b')))))) -->
<!-- rmarkdown::paged_table(table, options = list(cols.min.print = 4)) -->