Non-PSL Climate Analysis and Plotting Webtools

See PSL Climate Analysis and Plotting Webtools


Station Data: US and Global   bullet Western States   bullet Southeastern States
Climate Datasets: Climate Reanalyszer TAO Buoy Data   bullet   PMEL's LAS Server   bullet   IRI/LDEO   bullet   EPIC  
Time-series Analysis:   Random Signals and Noise
Climate Tools: newCDO  CDAT Climate Tools  

A sample plot is shown on the right of each package description. Click on the plot for the full size version.

Station Data

 Land Based Station Data
Obtain land-based station data from NCEI for the globe. Datasets include normals, US specific, US COOP data, hourly data, divisional data, and many more types. Cariables may include temperature (maximum, minimum and mean), winds, moisture, precipitation, pressure, snowfall, degree days, solar energy, sunshine and visibility and more. Some data are available as maps/time-series plots such as the current state of the US weather/climate. Some data is available from centurues ago. Plotting tools include NCEI's climate division plotter.From NOAA's National Centers for Enviromental Information (NCEI).
Climvis example plot
 Western Regional Climate Center
US Western Regional climate center station data plots. Plot "normals" for station data in the western US. Variables include precipitation and temperature and statistics include monthly and daily averages, rainfall probabilities and related quantities.
Climvis example plot

Climate Datasets

 Climate Reanalyzer Climate Reanalyzer is being developed by the Climate Change Institute at the University of Maine to provide an intuitive platform for visualizing a variety of weather and climate datasets and models. Investigate climate using interfaces for reanalysis and historical station data. Plot maps, timeseries, and correlations; export timeseries data to a text file for later use in spreadsheet software; export map layers to Google Earth.
 NOMADS Climate Model Output:GFDL
Users can plot Climate Model variables: Currently they have Dec-Cen and ocean assimilation datasets.
 TAO Buoy Data
Users can plot TAO buoy data.
Tao example plot
 Live Access to various climate data servers
Users can plot climate data using the Live-Access-Server (LAS) from various collections. The Live Access Server (LAS) is a highly configurable web server designed to provide flexible access to geo-referenced scientific data. It can present distributed data sets as a unified virtual data base through the use of DODS networking. Ferret is the default visualization application used by LAS, though other applications (Matlab, IDL, GrADS, ...) can also be used.
LAS example plot
 Get and Plot IRI/LDEO Datasets
Users can plot various datasets. Choose dataset of interest. The plotting options are at top of page that is retunred.
SST example plot
The EPIC Web Browser is Web application that provides interactive on-line data access to EPIC hydrographic data sets. It allows user to view the oceanographic in-situ data by creating plots on-the-fly, generating listings, data downloading etc.
Current EPIC Web Browser provides more than 1.5 million profile (such as CTD, Bottle, and XBT data from Pacific, FOCI, Puget Sound, VENTS, and NODC World Ocean Database, etc.) and time series (such as surface meteorology data, ocean data , and drifter buoy data from Alaska, Arctic, Puget Sound, etc. and Sea Level data from University Hawaii Sea Level Center).
Climvis example plot
 NCEI Palmer Drought Index
Palmer Drought Index for the US derived from tree-ring and/or instrumental data from 1700-1995. From the Paleoclimate division of NOAA's NCEI.
PDSI example plot

Time-Series Analysis

  Random Signals and Noise
Look at distributions,autocorrelations and other statistics of various types time-series. Time-series types include gaussian distributed, exponential, and white. Interactive javascripts allow users can to observe the effects of changing different parameters. From the Georgia Institute of Technology School of Electrical and Computer Engineering.course in random signals and noise.
Atlas example plot

Climate Tools

 UV-CDAT Climate Data Analysis Tools
Ultrascale Visualization-Climate Data Analysis Tools, or UV-CDAT, is a Python-based, easily extendible system for accessing and analyzing climate data. It contains a generally useful system for scientific graphics.

Some of the key components supplied by PCMDI include:

cdms : a package that enables access to many different data file formats;
cdutil : a package containing utility functions for climatology and averaging;
genutil: a package containing statistics functions with special features for climate data
vcs : a two-dimensional graphics package.
vcdat : a gui interface to cdat
CDO (Climate Data Operators): CDO (Climate Data Operators) is a collection of command line Operators to manipulate and analyse Climate model Data. It was developed at the Max-Planck Institute. It can do such things as calculate derived meteorological variables, calculate weather statistics, do regression, interpolate in time and space. Documentation is available.