CMDA - Apache Project

Climate Model Diagnostic Analyzer Overview

Both the latest NRC Decadal Survey and IPCC Assessment Report stressed the need for the comprehensive and innovative evaluation of climate models with the synergistic use of global observations in order to maximize return on the investments made in Earth observational systems and also to capitalize on them for improving our weather and climate simulation and prediction capabilities.
For over 40 years, NASA has accumulated Earth science datasets (~10 PB) along with many analysis tools. The rapidly growing datasets and analytics tools challenge individual scientists in organizing their work and concurrently challenge the whole community in sharing the datasets, tools, and derived knowledge.

A novel methodology to diagnose model biases in contemporary climate models, to identify the physical processes responsible for causing model biases, and to incorporate the understanding into new model presentation that reduce the model biases.
An easy-to-use diagnostic analysis tool for the Earth science community: a web-service based, cloud-enabled, provenance-supported services, lowering adoption barrier and minimizing preparation work.
An online collaborative environment for CMDA, where Earth scientists can easily publish their climate data and analytics tools, share them within groups, and find those of others.

Is designed for the climate modeling and model analysis community to analyze climate data from models and observations.
Provides tools to diagnostically analyze climate data for model validation and improvement: over 20 single- or multiple-variable analysis tools.
Enables multi-aspect, physics-based climate data analyses.
Facilitates comprehensive and synergistic use of observational data, reanalysis data, and model outputs.
Collects provenance and supports provenance-based search.
Manages analysis provenance for sharing results with other investigators.
Is a web-based information system.
Does not require local software/library installation.
Provides all the input data needed for analysis: over 600 long-term datasets, over 50 different multi-domain variables.

We provide a few scientific use cases of CMDA: Scientific Use Cases Overview

We also provide a few educational use cases of CMDA: Educational Use Cases Overview

CMDA team successfully launched 2016 JPL Climate Sciences Summer School. Go to the site here.