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

# Recommended: create virtual environment
# python3 -m venv venv
# . venv/bin/activate
pip install climata

See https://github.com/heigeo/climata to report any issues.

Available Services

Module	Classes	Data Source	Agency/Org.
climata.acis	StationMetaIO, StationDataIO	ACIS	NOAA RCCs
climata.epa	WqxDomainIO	WQX	EPA
climata.cocorahs	CocorahsIO	CoCoRaHS	CoCoRaHS
climata.hydromet	DailyDataIO, InstantDataIO, AgrimetRecentIO	Hydromet	USBR
climata.nws	HydroForecastIO, EnsembleForecastIO, EnsembleSiteIO	CNRFC	NWS
climata.snotel	StationIO, StationDailyDataIO, RegionDailyDataIO	SNOTEL AWDB	NRCS
climata.usgs	SiteIO, DailyValueIO, InstantValueIO	NWIS	USGS

Usage

Command-line interface:

# Load metadata for sites in Upper Klamath Lake basin
wq cat climata.acis.StationMetaIO "basin=18010203" > sites.csv

# Load daily average temperature for these sites
PARAMS="basin=18010203,start_date=2017-01-01,end_date=2017-01-31,parameter=avgt"
wq cat climata.acis.StationDataIO "$PARAMS" > data.csv

Python API:

from climata.acis import StationDataIO

# Load average temperature for sites in Upper Klamath Lake basin
sites = StationDataIO(
    basin="18010203",
    start_date="2017-01-01",
    end_date="2017-01-31",
    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

More Python code examples are available via the climata-viewer website.