Basis: Present 30 year average or what is available and be able to easily grad "current" data and display it

1981-2010 is the climatological reference period

Basis: Present 30 year average or what is available and be able to easily grad “current” data and display it.

Tasks:

1. 
   Gather readily available data sets:
   
2. 
   Display long term average and (daily) data sets – likely can do simple subtraction in McV, and display, but cannot output to file
   
3. 
   Goal for creating summaries to use locally is for the user to be independent – not have to rely on us to produce simple
   

Primary:

Precipitation:

Local precipitation (ask Grahame about) - Need to confirm that we can read in and overlay point data in McV

Precipitation from reanalysis (ask Grahame about) – If this is in some grid-type format, we should be able to read it in, but will need to confirm that we can read it in to McV.

Satellite derived data sets:

NASA? IMERG (TRMM 1998-2017 {since TRMM is not operational, using GPM to make TRMM-like product until 2017; new IMERGE algorithm will be run on TRMM data to create a coherent “backwards” product at some point}

NOAA Hydroestimator (for some past files, data may be off a point – check if it has been fixed)

ftp://ftp.star.nesdis.noaa.gov/pub/smcd/emb/f_f/hydroest/grads/centralamerica/

http://www.star.nesdis.noaa.gov/smcd/emb/ff/HEcentralAmerica.php

McIDAS AREA files (15 minute - for last month?) ftp://ftp.star.nesdis.noaa.gov/pub/smcd/emb/f_f/hydroest/centralamerica/AREA/

Delete AREA from the link above and check out mcidas for longer term and 24 hour for daily values. (potentially 20080505 – 20130325) There may be a longer data set in the GRAD format for the globe (2006002 – 2013084 daily for 00 – 00 UTC, 2006002-current daily for 12-12 UTC)

1 March 2016:

Potential other references HE project

re Suman from India: INSAT 3-D derived rainfall http://www.wmo.int/pages/prog/sat/meetings/documents/IPET-SUP-2_Doc_09-04_ValidationRainfall-INSAT-3D.pdf

Re Daniel and Luiz in Brazil: Global Quantitative Precipitation Estimates http://www.wmo.int/pages/prog/sat/meetings/documents/IPET-SUP-2_Doc_07-01-03_SCOPE-NWC-PP3.pdf

NOAA NCEI (SSM/I and SSMIS daily rainfall

http://www.ncdc.noaa.gov/oa/rsad/ssmi/gridded/index.php

Questions

In McV, can we average daily data to get a monthly average? Can we average monthly data over years to get the longer term average?

If McV does not read in GrADS format, can it be converted to GRIB with GDAL? (Is that shift in the data point still there?)

SST and land temperatures:

NOAA NCEI (National Centers for Environmental Information – formally NCDC ) (Daily 1981-present – they use a 30 year value to get the anomaly. Is that available to show?)

http://www.ncdc.noaa.gov/oisst

NOAA Coral Reef Watch

5-km daily netcdf files: ftp://ftp.star.nesdis.noaa.gov/pub/sod/mecb/crw/data/5km/nc/sst/

Monthly, year-to-date, and annual composites: http://coralreefwatch.noaa.gov/satellite/composites/index.php

Later? (NCAR Community Data Model Portal

http://cdp.ucar.edu/browse/browse.htm?uri=http://dataportal.ucar.edu/metadata/browse/climate.thredds.xml

Related to? NASA’s Global Change Master Directory

http://gcmd.nasa.gov/index.html)

Secondary:

Coral reef health index

Drought index (from CIMH)

NDVI

Global Vegetation Health

User guide: http://star.nesdis.noaa.gov/smcd/emb/vci/VH_doc/VHP_uguide_v1.4_2013_1221.pdf

4km files: ftp://ftp.star.nesdis.noaa.gov/pub/corp/scsb/wguo/data/VHP_4km/VH/

GOES IR cloud climatology

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GEONETCast (check their web page – some of these products might be there already, but in gif or jpg format – potential to provide in digital format?)

http://geonetcastamericas.noaa.gov/pubs/section-1/GEONETCast-Americas%20Product%20Catalog%20-%20V20152110.pdf

NOAA satellite products -

Agenda for May workshop

Number of participants: 8 minimum, 11 maximum

Who is the participant? Agriculture/hydrologist vs. forecaster 0- Answer from Grahame – Meteorologist in forecast office. Perhaps put this as a note in the agenda.

Types of events: Drought (continuous longer term monitoring) vs. extreme rainfall or other hazardous event.

Want to cover information about the products: strengths and limitations, how to access data, display it, query it, potentially manipulate it.

Dust/ash - half day

NDVI and VH – half day

SST and land temperature half day

Precipitation – whole day

Ground truth - plotting text or other point data