Skip to data content Skip to data search
Earth Observing Laboratory
Field Data Archive

Dataset List

415 datasets found (10 shown). Full dataset descriptions and data access links are available by selecting the dataset title.
Max results:
Dataset Projects Responsible parties Version/Date
This data set includes the SYNOP surface meteorological observations from stations in the Lake Victoria region of Africa. SYNOP messages are typically sent every six hours. The data are in the SYNOP BUFR format.
  • HIGHWAY
final 1.0
2019-03-08
This dataset contains only the Lake-ICE Automated Surface Observing System (ASOS) and National Climatic Data Center (NCDC) DATSAV2 "Special" observation surface data for the Lake-ICE domain and time period. These are observations that are reported at...
  • Lake-ICE
final 1.0
2011-08-24
This dataset contains the Local Data Manager (LDM) World Meteorological Organization (WMO) surface METAR (LDMSFCMETR) regional mesonet data. This dataset contains ASOS, AWOS and MANUAL stations in METAR ASCII format.
  • IHOP_2002
final 1.0
2008-10-07
The Surface METAR Data set is one of several surface data sets collected by the National Center for Atmospheric Research/ Earth Observing Laboratory (NCAR/EOL). Included in the data set are the global hourly surface meteorological observations in NCAR...
  • NAME
final 1.0
2008-10-07
The Surface METAR Data set is one of several surface data sets collected by the National Center for Atmospheric Research/ Earth Observing Laboratory (NCAR/EOL). Included in the data set are the global special surface meteorological observations in NCAR...
  • NAME
final 1.0
2008-10-07
This Special Obervation Surface METAR Data set is one of several surface data sets collected by the National Center for Atmospheric Research/Earth Observing Laboratory (NCAR/EOL). Included in the data set are the special METAR observations for the TREX...
  • T-REX
final 1.0
2008-10-07
The Unidata Local Data Manager (LDM) World Meteorological Organization (WMO) Hourly Surface data in QC format is one of several surface datasets provided in the GEWEX Continental-Scale International Project (GCIP) Large Scale Area-North West (LSA-NW)...
  • GCIP/LSA-NW-00
final 1.0
2002-07-22
The Unidata Local Data Manager (LDM) World Meteorological Organization (WMO) Surface "Special" observation surface data in Quality Control (QC) format is one of several surface datasets provided in the GEWEX Continental-Scale International Project ...
  • GCIP/LSA-NW-00
final 1.0
2002-07-30
This data set contains GTS METAR meteorological observations transmitted in real time to the GTS from over 5000 locations throughout the world. The temporal resolution is typically hourly with specials when conditions warrant. These data were quality...
  • M2HATS
  • VERTEX
  • DELTA
  • WINTRE-MIX
  • RELAMPAGO
  • PECAN
  • Meso18-19
  • TORUS_2019
  • TCI
  • MethaneAIR
  • TORUS_2022
  • TRANS2AM
  • VORTEX-SE_2016
  • SOCRATES
  • SLC-SOS_Mobile
  • SNOWIE
  • IDEAL
  • Operational
  • MITTEN-CI
  • SPICULE
  • S2noCliME
  • VORTEX-SE_2017
  • SWEX
  • PERiLS_2023
  • OTREC
  • LIFT_2024
  • Perdigao
  • PERiLS_2022
  • ICECHIP
  • MAIR-E
  • BACS
  • TORUS-LItE
  • MATERHORN-X
  • CHEESEHEAD
  • TI3GER
  • MAIRE24
  • SAVANT
  • ICICLE
  • CG_WaveS
  • CFACT
  • CSET
  • ORCAS
  • VORTEX-SE_2018
final 1.0
2015-04-17
This data set contains martime meteorological and sea state observations transmitted in real time to the GTS from ships and buoys throughout the world. The temporal resolution varies depending on the station. These data were quality controlled and...
  • OTREC
  • Operational
  • TCI
  • SWEX
  • SOCRATES
  • CSET
  • ORCAS
final 1.0
2015-04-17

© 2025 UCAR | EOL | Privacy | Email: datahelp@eol.ucar.edu

NSF

This material is based upon work supported by the NSF National Center for Atmospheric Research, a major facility sponsored by the U.S. National Science Foundation and managed by the University Corporation for Atmospheric Research. Any opinions, findings and conclusions or recommendations expressed in this material do not necessarily reflect the views of the U.S. National Science Foundation.