Dataset
HadISDH: gridded global monthly land surface humidity data version 2.1.0.2015p
Abstract
This is the 2.1.0.2015p version of the HadISDH land data. The data are provided by the Met Office Hadley Centre. This version spans 1/1/1973 to 31/12/2015.
This version extends the 2.0.1.2014p version to the end of 2015 and includes some minor updates users are advised to read the update document in the docs section for full details.
The data are monthly gridded (5 degree by 5 degree) and station products are available for temperature and six humidity variables: specific humidity (q), relative humidity (RH), dew point temperature (Td), wet bulb temperature (Tw), vapour pressure (e), dew point depression (DPD). Data are provided in either NetCDF or ASCII format.
Uncertainty estimates are provided at the station and gridbox level covering station uncertainty (climatological, homogenisation and measurement uncertainty), gridbox spatial and temporal sampling uncertainty and combined station and sampling uncertainty.
To keep up to date with updates, news and announcements follow the HadOBS team on twitter @metofficeHadOBS.
For more detailed information e.g bug fixes, routine updates and other exploratory analysis, see the HadISDH blog: http://hadisdh.blogspot.co.uk/
References:
When using the dataset in a paper you must cite the following papers (see Docs for link to the publications) and this dataset (using the "citable as" reference) :
Willett, K. M., Dunn, R. J. H., Thorne, P. W., Bell, S., de Podesta, M., Parker, D. E., Jones, P. D., and Williams Jr., C. N.: HadISDH land surface multi-variable humidity and temperature record for climate monitoring, Clim. Past, 10, 1983-2006, doi:10.5194/cp-10-1983-2014, 2014.
Smith, A., N. Lott, and R. Vose, 2011: The Integrated Surface Database: Recent Developments and Partnerships. Bulletin of the American Meteorological Society, 92, 704–708, doi:10.1175/2011BAMS3015.1
We strongly recommend that you read these papers before making use of the data, more detail on the dataset can be found in an earlier publication:
Willett, K. M., Williams Jr., C. N., Dunn, R. J. H., Thorne, P. W., Bell, S., de Podesta, M., Jones, P. D., and Parker D. E., 2013: HadISDH: An updated land surface specific humidity product for climate monitoring. Climate of the Past, 9, 657-677, doi:10.5194/cp-9-657-2013.
Details
| Previous Info: |
No news update for this record
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| Previously used record identifiers: |
No related previous identifiers.
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| Access rules: |
Public data: access to these data is available to both registered and non-registered users.
Use of these data is covered by the following licence: http://www.nationalarchives.gov.uk/doc/non-commercial-government-licence/version/2/. When using these data you must cite them correctly using the citation given on the CEDA Data Catalogue record. |
| Data lineage: |
HadISDH, a global land surface humidity dataset is produced by the Met Office Hadley Centre in collaboration with Maynooth University, NOAA NCEI, NPL and CRU. It is based on the quality controlled sub-daily HadISD from the Met Office Hadley Centre which is in turn based on the ISD dataset from NOAA's NCEI. It is passed to the BADC for archiving and distribution. |
| Data Quality: |
Uncertainty estimates are provided as part of the dataset both at the station and gridbox level, this includes information covering station uncertainty (climatological, homogenisation and measurement uncertainty), gridbox spatial and temporal sampling uncertainty and combined station and sampling uncertainty. See dataset associated documentation for full details.
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| File Format: |
These data are provided in NetCDF and ASCII format, descriptors of the file formats are included in Docs
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Process overview
| Title | HadISDH.land: gridded global land surface humidity dataset produced by the Met Office Hadley Centre |
| Abstract | HadISDH.land utilises simultaneous subdaily temperature and dew point temperature data from over 3000 quality controlled HadISD stations that have sufficiently long records. All humidity variables are calculated at hourly resolution and monthly means are created. Monthly means are homogenised to detect and adjust for features within the data that do not appear to be of climate origin. While unlikely to be perfect, this process does help remove large errors from the data an improve robustness of long-term climate monitoring. The NCEI's Pairwise Homogenisation Algorithm has been used directly on DPD and T. An indirect PHA method (ID PHA) is used whereby changepoints detected in DPD and T are used to make adjustments to q, e, Tw and RH. Changepoints from DPD are also applied to T. Td is derived from homogenised T and DPD. See Docs 'HadISDH.land process diagram'. Station measurement, climatological and homogeneity adjustment uncertainties are estimated for each month. Climatological averages are calculated (the climatological period is dependent on product version) and monthly mean climate anomalies obtained. These anomalies (in addition to climatological mean and standard deviation, actual values and uncertainty components) are then averaged over 5° by 5° gridboxes centred on -177.5°W and -87.5°S to 177.5°E and 87.5°N. Given the uneven distribution of stations over time and space, sampling uncertainty is estimated for each gridbox month. For greater detail please see: and Willett, K. M., Williams Jr., C. N., Dunn, R. J. H., Thorne, P. W., Bell, S., de Podesta, M., Jones, P. D., and Parker D. E., 2013: HadISDH: An updated land surface specific humidity product for climate monitoring. Climate of the Past, 9, 657-677, doi:10.5194/cp-9-657-2013. Docs contains links to both these publications |
| Input Description | None |
| Output Description | None |
| Software Reference | None |
- long_name: Dewpoint Depression
- names: Dewpoint Depression
- units: 1
- long_name: actual number of stations within gridbox
- var_id: stncount
- long_name: climatology period boundaries
- var_id: climbounds
- units: 1
- long_name: intersite correlation (rbar)
- var_id: rbar
- units: hPa
- long_name: mean gridbox variance (sbar2)
- var_id: sbar2
- units: 1
- long_name: mean number of stations within gridbox
- var_id: meanstncount
- var_id: month
- long_name: month of year
- standard_name: air_temperature
- units: deg C
- var_id: tas
- long_name: near surface (~2m) air temperature
- units: deg C
- standard_name: air_temperature_anomaly
- long_name: near surface (~2m) air temperature anomaly
- var_id: tasa
- units: deg C
- long_name: near surface (~2m) air temperature climatology
- var_id: clm
- units: deg C
- long_name: near surface (~2m) air temperature standard deviation
- var_id: std
- units: hPa
- standard_name: water_vapor_partial_pressure_in_air
- long_name: near surface (~2m) vapour pressure
- var_id: vps
- units: hPa
- long_name: near surface (~2m) vapour pressure anomaly
- var_id: vpsa
- units: hPa
- var_id: clm
- long_name: near surface (~2m) vapour pressure climatology
- units: hPa
- var_id: std
- long_name: near surface (~2m) vapour pressure standard deviation
- units: hPa
- long_name: uncorrelated 1 sigma adjustment uncertainty for gridbox
- var_id: adjunc
- units: hPa
- long_name: uncorrelated 1 sigma climatology uncertainty for gridbox
- var_id: climunc
- units: hPa
- long_name: uncorrelated 1 sigma measurement uncertainty for gridbox
- var_id: measunc
- units: hPa
- long_name: uncorrelated 1 sigma sampling uncertainty for gridbox
- var_id: sampunc
- units: hPa
- long_name: uncorrelated 1 sigma station uncertainty for gridbox
- var_id: stnunc
- units: hPa
- long_name: uncorrelated combined 1 sigma uncertainty for gridbox
- var_id: stdunc
Co-ordinate Variables
- units: degrees_north
- standard_name: latitude
- var_id: latitude
- long_name: gridbox centre latitude
- units: degrees_east
- standard_name: longitude
- var_id: longitude
- long_name: gridbox centre longitude
- standard_name: latitude
- var_id: bounds_lat
- long_name: latitude gridbox boundaries
- standard_name: longitude
- var_id: bounds_lon
- long_name: longitude gridbox boundaries
- long_name: time
- standard_name: time
- var_id: time
- standard_name: time
- long_name: time period boundaries
- var_id: bounds_time
Temporal Range
1973-01-01T00:00:00
2015-12-31T00:00:00
Geographic Extent
90.0000° |
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-180.0000° |
180.0000° |
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-90.0000° |