climata is a pythonic interface for loading and processing time series data from climate and flow monitoring stations and observers. climata leverages a number of webservices as listed below. climata is powered by wq.io, and shares its goal of maximizing the reusability of data parsing code, by smoothing over some of the differences between various data formats.
pip install climataSee https://github.com/heigeo/climata to report any issues.
| Module | Classes | Data Source | Agency/Org. |
|---|---|---|---|
| climata.acis | StationMetaIO, StationDataIO |
ACIS |
|
| climata.cocorahs | CocorahsIO |
CoCoRaHS |
|
| climata.hydromet | DailyDataIO, InstantDataIO, AgrimetRecentIO |
Hydromet |
|
| climata.nws | HydroForecastIO, EnsembleForecastIO, EnsembleSiteIO |
CNRFC |
|
| climata.snotel | StationIO, StationDailyDataIO, RegionDailyDataIO |
SNOTEL AWDB |
|
| climata.usgs | SiteIO, DailyValueIO, InstantValueIO |
NWIS |
|
Command-line interface:
# Load metadata for sites in Mississippi Headwaters HUC4
acis_sites.py 0701 > sites.csv
# Load daily average temperature for these sites
acis_data.py 0701 avgt > data.csvPython API:
from climata.acis import StationDataIO
# Load average temperature for sites in Mississippi Headwaters HUC8
sites = StationDataIO(
basin="07010101",
start_date="2012-12-01",
end_date="2012-12-31",
parameter="avgt"
)
# Display site information and time series data
for site in sites:
print site.name
for evt in site.data:
print evt.date, evt.avgtMore Python code examples are available via the climata-viewer website.