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MADIS to LITTLE_R Converter MADIS observation types MADIS to LITTE_R converter Future work

MADIS to LITTLE_R Converter MADIS observation types MADIS to LITTE_R converter Future work

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Page 1: MADIS to LITTLE_R Converter MADIS observation types MADIS to LITTE_R converter Future work

MADIS to LITTLE_R Converter

MADIS observation types MADIS to LITTE_R converter Future work

Page 2: MADIS to LITTLE_R Converter MADIS observation types MADIS to LITTE_R converter Future work

MADIS Observation Types MADIS provides ingest, integration, automated quality control (QC),

and distribution support for both NOAA and non-NOAA observations. Observations currently supported by MADIS include:

* Meteorological Aviation Reports (METARs) * Surface Aviation Observations (SAOs) * * Surface maritime reports (including Buoy, Ship, and Coastal-Marine Automated Network [C-

MAN]) * Modernized NWS Cooperative Observer (COOP-M) Program * * Surface mesonet * Radiosondes * NOAA Profiler Network (NPN) * Cooperating Agency Profiler (CAP) * * Automated aircraft reports and profiles (including MDCRS, ACARS *, AMDAR *, and TAMDAR *

observations) * Microwave Radiometers * * GOES 3-h operational winds * GOES 1-h experimental winds *

Page 3: MADIS to LITTLE_R Converter MADIS observation types MADIS to LITTE_R converter Future work

MADIS Observation Types MADIS Meteorological Surface Dataset

Provider Most national-scale networks in North America that report surface conditions( temperature, relative humidity,

wind, precipitation, etc.) are included. Mesonet stations come from local, state, and federal agencies, and private firms.

Geographic Coverage

Coverage is densest over North and Central America, plus Hawaii. Global datasets include maritime and METAR, along with some mesonets (APRSWXNET, PCDINPE).

Start Date of Data (real time and archived data)

METAR, Maritime, Integrated Mesonet July 1, 2001Modernized NWS Cooperative Observer May 4, 2004UrbaNet December 1, 2006

Page 4: MADIS to LITTLE_R Converter MADIS observation types MADIS to LITTE_R converter Future work

MADIS Observation Types MADIS Hydrological Surface Dataset

Provider The MADIS hydrological surface dataset includes reports from observing networks run by

different "providers". It report various hydrological variables such as accumulated precipitation and river levels, etc.

Geographic Coverage

The geographic coverage for automated networks and for the CoCoRaHS mesonet includes data from these states: CO, IN, KS, MO, NM, PA, TX, VA, WY. The GLOBE mesonet has global data.

Start Date of Data (real time and archived data)

Hydrological Surface July 1, 2001

Page 5: MADIS to LITTLE_R Converter MADIS observation types MADIS to LITTE_R converter Future work

MADIS Observation Types MADIS Radiosonde Dataset

Provider Data comes from all stations in North America and many other stations around the globe.

The average continental U.S. station separation is currently 315 km, and two observations are scheduled daily (valid at 0000 and 1200 UTC).

Geographic Coverage

The geographic coverage is global. Start Date of Data (real time and archived data)

Radiosonde July 1, 2001

Page 6: MADIS to LITTLE_R Converter MADIS observation types MADIS to LITTE_R converter Future work

MADIS Observation Types MADIS NOAA Profiler Network Dataset

Provider The MADIS profiler dataset consists of hourly winds from the NOAA Profiler Network, a

quasi-operational network of wind profilers located in the Central United States and Alaska.

Geographic Coverage

The NOAA Profiler Network is primarily in the central United States, with 3 additional stations in Alaska.

Start Date of Data (real time and archived data)

NOAA Profiler NetworkJuly 1, 2001

Page 7: MADIS to LITTLE_R Converter MADIS observation types MADIS to LITTE_R converter Future work

MADIS Observation Types MADIS Automated Aircraft Dataset

Provider The MADIS automated aircraft dataset provides data obtained from many U.S. airlines reporting through

ACARS. ACARS is a superset of the Meteorological Data Collection and Reporting System (MDCRS) data. it also includes Aircraft Meteorological Data Reporting (AMDAR) data from many European and Asian carriers, and Tropospheric Airborne Meteorological Data Reporting (AMDAR) data.

Geographic Coverage

Approximately 140,000 wind and temperature observations are available per day, 100,000 of which are over the continental United States. These data come from more than 4000 aircraft. There are more data during the day time than at night.

Start Date of Data (real time and archived data)

Automated Aircraft Reports July 1, 2001

Page 8: MADIS to LITTLE_R Converter MADIS observation types MADIS to LITTE_R converter Future work

MADIS Observation Types MADIS Multi-Agency Profiler Dataset

Provider The MADIS Multi-Agency Profiler (MAP) dataset consists of data from a variety of observing systems,

which are collected from many different "providers" and integrated into a single dataset.

The observing systems produce vertical profiles of wind and virtual temperature. Geographic Coverage

Most of the MAP stations are located in the United States and Canada, and a large network of stations are available from Japan.

Start Date of Data (real time and archived data)

Multi-Agency Profiler June 1, 2002

Page 9: MADIS to LITTLE_R Converter MADIS observation types MADIS to LITTE_R converter Future work

MADIS Observation Types MADIS Satellite Wind Dataset

Provider The MADIS satellite wind dataset consists of multiple wind products from different "providers". Currently,

these products consist of data from the GOES satellites, including the 3-hour winds that are produced on an operational basis, as well as the rapid scan experimental winds that are produced hourly.

Geographic Coverage

GOES-12 provides coverage over the Eastern U.S., Central and South America, and the Atlantic Ocean. GOES-11 provides coverage over the Western U.S. and the Pacific Ocean.

Start Date of Data (real time and archived data)

Satellite Wind November 4, 2003

Page 10: MADIS to LITTLE_R Converter MADIS observation types MADIS to LITTE_R converter Future work

MADIS Observation Types Other MADIS Dataset

Start Date of Data (real time and archived data)

High Frequency METAR February 24, 2009

Radiometer July 8, 2003

Satellite Sounding June 9, 2005

Satellite Radiance November 1, 2005

Snow November 18, 2005

WISDOM August 8, 2008

For detailed info, go to http://madis.noaa.gov/madis_datasets.html

Page 11: MADIS to LITTLE_R Converter MADIS observation types MADIS to LITTE_R converter Future work

ConverterThis converter includes two parts: Reading MADIS data Refer da_setup_obs_structures_madis subroutine to read obs from MADIS database.

Writing to LITTLE_R

Refer module_output.F (Yun-Rong) to write different obs type to LITTLE_R.

Page 12: MADIS to LITTLE_R Converter MADIS observation types MADIS to LITTE_R converter Future work

Converter Converted and tested MADIS obs types METAR, Canadian SAO’s, ACARS, SATWND, Marine, radiosonde

Sample data

METAR, ACARS, marine, radiosonde:

20070423_00, 20070423_06, 20070423_12

SATWND:

20070101_22

Page 13: MADIS to LITTLE_R Converter MADIS observation types MADIS to LITTE_R converter Future work

Future work It is possile to convert other MADIS obs to little_r

NWS cooperative observer, UrbaNet mesonets, buoys, C-MAN (Coastal Marine Automated

Network) station, NPN (NOAA Profiler Network) winds, MAP (Multi-Agency Profiler) winds,

GPSMET integrated precipitable water.

Page 14: MADIS to LITTLE_R Converter MADIS observation types MADIS to LITTE_R converter Future work

if(use_metarobs)then CALL MINIT('SFC',madis_metar_db,.true.,istatus) if(istatus /= success_p)stop CALL MSETSFCPVDR('ALL-SFC',.false.,istatus) if(istatus /= success_p)stop

! Select all of the surface datasets other than maritime. CALL MSETSFCPVDR('ALL-MTR',.true.,istatus) if(istatus /= success_p)stop CALL MSETSFCPVDR('SAO',.true.,istatus) if(istatus /= success_p)stop CALL MSETSFCPVDR('ALL-MESO',.true.,istatus) if(istatus /= success_p)stop CALL MSETSFCPVDR('COOP',.true.,istatus) if(istatus /= success_p)stop

Page 15: MADIS to LITTLE_R Converter MADIS observation types MADIS to LITTE_R converter Future work

if(use_shipsobs)then CALL MINIT('SFC',madis_ships_db,.true.,istatus) if(istatus /= success_p)stop CALL MSETSFCPVDR('ALL-SFC',.false.,istatus) if(istatus /= success_p)stop CALL MSETSFCPVDR('MARITIME',.true.,istatus) if(istatus /= success_p)stop if(use_gpspwobs)then CALL MINIT('SFC',madis_gpspw_db,.true.,istatus) if(istatus /= success_p)stop CALL MSETSFCPVDR('ALL-SFC',.false.,istatus) if(istatus /= success_p)stop CALL MSETSFCPVDR('GPSMET',.true.,istatus) if(istatus /= success_p)sto

Page 16: MADIS to LITTLE_R Converter MADIS observation types MADIS to LITTE_R converter Future work

if(use_soundobs)then CALL MINIT('RAOB',madis_sound_db,.true.,istatus) if(istatus /= success_p)stop if(use_airepobs)then CALL MINIT('ACARS',madis_airep_db,.true.,istatus) if(istatus /= success_p)stop if(use_geoamvobs)then CALL MINIT('SATWND',madis_geoamv_db,.true.,istatus) if(istatus /= success_p)stop