# Presentation: 200366

## Global Cloud Resolving Model Data

- Todd Elsethagen
- Pacific Northwest National Laboratory

## Projects

- Design and Testing of a Global Cloud Resolving Model (GCRM) (Scidac SA, Randall)
- Center for Multi-scale Modeling of Atmospheric Processes (CMMAP) (NSF STC, Randall)
- Community Access to Global Cloud Resolving Model Data and Analyses (Scidac, Schuchardt)

## Why Cloud Resolving Models

- [cirrus cloud] representation in Numerical Weather Prediction (NWP) models and General Circulation Models (GCMs) has been identified as one of the greatest uncertainties in weather and climate research.
- CRMs may be increasingly used in GCMs to replace the cumulus and stratiform cloud parameterizations (e.g., Khairoutdinov and Randall 2001). Thus, evaluating the representation of cirrus clouds in a CRM will soon be considered part of evaluating GCMs.

- Yali Luo, Steven K. Krueger, and Gerald G. Mace, Kuan-Man Xu

## Global Cloud Resolving Model(GCRM)

- prototype of **future-generation** cloud-resolving global atmospheric models for use in both **weather forecasting and climate** simulation
**global atmospheric circulation** model with a grid-cell spacing of approximately 2-4 km, capable of **simulating the circulations associated with large convective clouds**
- Applications of the model will include development of improved versions of more conventional, less expensive models.

**Dave Randall (PI) (CSU), Akio Arakawa (UCLA) (CO-PI)**

**Notes:**
Currently  CRM’s are at a 50km resolution

## GCRM

- Computationally **VERY** expensive to run
- Data intensive
- Conservatively, 1 TB / hourly averages
- In 5 year time frame:
- 1 month runs aimed at numerical weather predictions
- Run >= two annual-cycle simulations
- Targeting primarily ORNL and NERSC facilities

## GCRM Data

- Geodesic grid (to 2-4 km resolution)
- Time averaged global maps
- 2d, 3d
- Time averaged region (more frequent data in some regions)
- Point data for pre-selected points (much more frequent data for some points)
- Restart data

**Notes:**
From Don’s README file

## Geodesic Grids

- Regular Icosahedron
-   Inscribed in a unit sphere

## GCRM Data(Lots of Data)

- “The current process for moving output files to local storage where data can be extracted and subsequently analyzed by primarily serial tools breaks down”
- “...researchers expect to download one or more NetCDF files to local storage for analysis.  The files typically contain more parameters than of interest for a particular analysis, thus creating unnecessary network traffic and increased processing time.”

## CMMAP

- $19 Million NSF Science and Technology Center (STC) to build climate models that will more accurately depict cloud processes, improving climate and precipitation forecasting.
- 100+ individuals at 29 organizations
- Roles:
- Model developers
- Model validators
- Data Management
- Meteorology
- Students
- Education outreach
- Computer Company Outreach

**Activities**
- _[Research](http://kiwi.atmos.colostate.edu:16080/cmmap/contact-research.html)__ _
- _[Education, Outreach and Diversity](http://kiwi.atmos.colostate.edu:16080/cmmap/contact-eod.html)__ _
- _[Knowledge Transfer](http://kiwi.atmos.colostate.edu:16080/cmmap/contact-kt.html)__ _

-  Apply cloud resolving model to existing modeling frameworks (such as MMF) where the cloud model runs within each cell.
- Less computationally challenging and data intensive than GCRM
- Heavy emphasis on validation against observed data

## Software

- netCDF,
- Images,animations,
- Applets, KML,KMZ

- Averaging Binning

- subsetting

- post
- processing

**Portal**

- Specify
- region
- Time
- Temporal Strides
- Spatial Strides
- Averages,
- Joint histograms
- Satellite simulations

- View
- Data summaries
- Visualizations

- Browse
- Simulation sets
- Staged data

- Metadata Services

## Metadata

- Harvester

- Catalog

- GCRM

- Model Output
- (NetCDF)

- Metadata Services
- (Query, Discovery,
- Browsing, Annotation)

- GCRM
- PORTAL

- Usage, Discovery, Browsing, Ancillary

**Notes:**
Metadata Categories
 Usage metadata 
 CF Standard Names, coordinate details
 Discovery/Browse metadata 
 title, institution, model version, etc
 Ancillary metadata
 annotations

Data Sets

Point output
 Geodesic Grid output
 Restart Files
 Conformance to CF Conventions
 Multiple files represent a logical data set

## Metadata Tasks

-  Just starting ...
-  Conformance to CF conventions
-  GCRM Extensions ?
-  GCRM Conformance Document
-  Mapping to CF “Standard Names”
-  Metadata model and architecture

**Notes:**
Leverage from leaders in the field - don’t reinvent

## Metadata Similarities ?

-  Activity / Project
-  Investigation (Simulation and Analysis)
-  Dataset
-  Parameter / Parameter List
-  Service

## Things to consider ?

- Geodesic grid metadata
- Data Volume
- File aggregation, data spatially divided, multiple netCDF files ?
- Indexing ?
- Metadata vocabularies ?
- Metadata capture ?