Global Change Master Directory (GCMD)

Data Sets

Services / Tools

Ancillary Descriptions

Are you using a browser that doesn't support JavaScript or have you disabled JavaScript?

If you have disabled JavaScript, you must re-enable JavaScript to use this page.
Or you can view this record using the Text Only Format.

History Database of the Global Environment - HYDE

Entry ID: HYDE

[ Get Data ]
[ Update this Record ]

This data set description is a member of a collection.
Click to see members of this collection.

Summary

Abstract: The first version of this data base originally was set up for testing and
validation of the so-called Integrated Model of the Greenhouse Effect (the
IMAGE model; see Alcamo, 1994), developed at RIVM. The main aim of the model is
to use state-of-the-art models to assist policy makers in the development and
evaluation of future scenarios to mitigate ...

Related URL

Link: GET DATA

Description: Information for downloading HYDE data.

Link: VIEW RELATED INFORMATION

Description: International Environmental Research at RIVM.

Geographic Coverage

(Click for Interactive Map)

Spatial coordinates

N: 90.0

S: -90.0

E: 180.0

W: -180.0

Data Set Citation

Dataset Originator/Creator: MNP

Dataset Title: History Database of the Global Environment - HYDE

Dataset Release Place: Netherlands

Dataset Publisher: RIVM

Data Presentation Form: data tables

Online Resource: http://www.mnp.nl/hyde/

Temporal Coverage

Start Date: 1700-01-01

Stop Date: 2000-12-31

Location Keywords

GEOGRAPHIC REGION > GLOBAL LAND

Science Keywords

AGRICULTURE > AGRICULTURAL CHEMICALS > FERTILIZERS

AGRICULTURE > AGRICULTURAL ENGINEERING

ISO Topic Category

CLIMATOLOGY/METEOROLOGY/ATMOSPHERE

ELEVATION

OCEANS

Platform

METEOROLOGICAL STATIONS

BUOYS

SHIPS

Instrument

ALTIMETERS

ANEMOMETERS

Project

ESIP > Earth Science Information Partners Program

Quality LOGICAL CONSISTENCY REPORT: Automated checks are applied to the data during the ingest process before the data are written off to the archive (DATSAV3) flat file format and then loaded into the Surface Historical data base. There are three types of quality control applied to the data. The initial is validation of individual observations and is applied as the data is received. The second ... incorporates synoptic decode algorithms and various other functions as described below and is also run hourly as data are received. The third consists of continuity checks over time and consequently is run once a day. The initial Quality Control validates the data against the master station catalog, checks to see if the station is in our catalog and adds latitude and longitude where missing (if it is listed in the master station catalog). The second phase of the QC (QC_RAW) incorporates a variety of functions, the largest portion of which is decoding the additive portion of the synoptic observation. Its other roles are merging different types (i.e. METAR, SYNOPTIC) of observations that come in for the same station for the same time, removing duplicate observations, distinguishing record observations from special observations, rounding record observation times to the nearest whole hour where applicable, and calculating/correcting ceilings. The daily checks validate observations in three ways. It performs gross limit checks on specific elements within the observation. It performs intra-observation checks to see if elements within the same observation are consistent. It also performs inter-observation checks for consistency and continuity between different observations from the same station. A detailed description of the DAILY ALGORITHMS 27 Nov 95 (updated Dec 2001) WIND ALGORITHMS 1. Wind direction: If wind_dir not = 0-360 or 990 or 999, then set = missing. 2. Wind direction: If wind_dir not = 0 and wind_spd = 0 and wind_gust = 0 or 9999, then set wind_dir = 0. 3. Wind speed: If wind_spd not 0-

COMPLETENESS REPORT: Periods of record vary from station to station. The earliest station data dates back to January of 1901. New data are added to the dataset each month. There are over 22,000 stations loaded in the tables. Long periods of record do not necessarily end at the current time. No reasonable data are excluded from the dataset during the load process. The Oracle tables are set up to include all the surface data from the AFCCC archive file that is created for each month:

LINEAGE/PROCESS STEP:
PROCESS DESCRIPTION: Quality fields have been established for each meteorological element in the data base. Five quality flags are available for use, but only four are currently used by AFCCC. A quality flag of 0 = No check, 1 = Good, 2 = Suspect, 3 = Erroneous (not used by AFCCC, because if we determine it is bad, we remove it), 4=Calculated and 5=Removed. During the initial load of the data into the data base, a large number of stations that shared the same latitude and longitude were identified. Value judgments were made for each station and only one station per latitude and longitude combination was loaded into the tables. Any station data that could not be loaded because it shared the same latitude and longitude with another station was cataloged and an ongoing effort is underway to resolve such stations and get them loaded into the tables where possible. In some instances, it is simply a matter of resolving the latitude and longitude to a higher resolution (if available) so that the station can be reloaded into the tables. In other cases, extensive research will be required to determine if there is an error in either the latitude or longitude or perhaps even the block station number that has been assigned to the station before it was sent to the archive. It should be noted that there were over one thousand stations that could not be loaded into the data base because of this problem. In addition to this problem there were approximately xxxxx stations in the archive that did not have any latitude and longitude or the latitude and longitude had been set to a default of latitude = 0 and longitude = 0. Stations without a valid latitude and longitude were not loaded into the tables. A detailed quality control data base of errors (QC_ADE) is available on the AFCCC intranet at http://intranet/dod/quality.php. QC_ADE is an Access data base that the Data Quality Team uses to detail and catalog any know errors that exist in the various data bases maintained at AFCCC. QC_ADE contains details of both open and resolved errors in the data. It offers search a search capability based on weather element, database, blockstation, country, date range, AFWA Problem Report Number, internal tracker identification number, and keyword.
PROCESS DATE: 19010101

Access Constraints ACCESS CONSTRAINTS: Access through AFCCC is limited to DoD agencies and their contractors. All other requests are filled through the National Climatic Data Center in Asheville, N.C.

DISTRIBUTION LIABILITY: Every effort has been made to ensure that these data are accurate and reliable within the limits of current NOAA quality control procedures. NOAA can only ...

Use Constraints Acknowledgement of the Data Originator when using the Data Item as a source.

Ancillary Keywords

CRYOSPHERE > SNOW/ICE

HYDROSPHERE > SNOW/ICE

GOSIC

G3OS/

Data Set Progress

COMPLETE

Data Center

National Climatic Data Center, NESDIS, NOAA, U.S. Department of Commerce

Data Center URL: http://www.ncdc.noaa.gov/
Dataset ID: ______DSI-9966 ____

Data Center Personnel
Name: NCDC CUSTOMER SERVICE Phone: 828-271-4800 Fax: 828-271-4876 Email: ncdc.orders at noaa.gov Contact Address: 151 Patton Avenue, Room 120 City: Asheville Province or State: NC Postal Code: 28801-5001 Country: USA

Distribution

Distribution Format: CSV

Fees: Please see summary

Personnel

NCDC METADATA SERVICES

Role: DIF AUTHOR

Phone: 828-271-4800

Fax: 828-271-4876

Email: ncdc.metadata at noaa.gov

Contact Address:

151 Patton Avenue

Room 468

City: Asheville

Province or State: North Carolina

Postal Code: 28801-5001

Country: USA

Creation and Review Dates

DIF Creation Date: 2007-09-28

Last DIF Revision Date: 2011-07-21

Reformat as FGDC document

View Text Only Format

[ Update this Record ]