Loads climate and hydrology data from ACIS (NOAA RCCs), CoCoRaHS, Hydromet (USBR), SNOTEL AWDB (NRCS) and NWIS (USGS).
Project description
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.
Getting Started
pip install climata
See https://github.com/heigeo/climata to report any issues.
Available Services
Module |
Classes |
Data Source |
Agency/Org. |
---|---|---|---|
StationMetaIO, StationDataIO |
NOAA RCCs |
||
CocorahsIO |
CoCoRaHS |
||
DailyDataIO, InstantDataIO, AgrimetRecentIO |
USBR |
||
StationIO, StationDailyDataIO, RegionDailyDataIO |
NRCS |
||
SiteIO, DailyValueIO, InstantValueIO |
USGS |
Usage
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.csv
Python 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.avgt
Project details
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