[Keyword='surface-sediment diatom assemblages']
European Diatom Database-Surface Waters Acidification ProgrammeEntry ID: uk_nc_eddi_swap
Abstract: The European Diatom Database (EDDI) is a web-based information system designed
to enhance the application of diatom analysis to problems of surface water
acidification, eutrophication and climate change.
The Surface Waters Acidification Programme (SWAP) calibration training set
included initially 178 surface sediment diatom assemblages and the associated
environmental variables from 170 sites. ... Data-screening reduced these to 167
lakes, which using weighted averaging give superior results in terms of lowest
root mean squared errors of prediction in cross-validation (Birks et al. 1990a;
Birks et al. 1990b). The refined diatom/water chemistry training set used
within the SWAP project is derived from five regional datasets (number of
samples in parentheses) from Sweden (30), Norway (51), Scotland (60), Wales
(32) and the English Lake District (5). These sites represent upland lakes in
Britain and both upland and lowland lakes in Scandinavia with a bias towards
acidic waters. Using gravity or a piston corer, surface sediment samples were
usually taken from the deepest point in each lake and in all cases the top 0.5
cm was used for diatom preparation. A total of approximately 500 diatom valves
per sample were counted. As a result of the considerable variation in taxonomic
and nomenclatural usage between diatomists in different laboratories a
programme of taxonomic harmonization was undertaken to construct a common
diatom dataset (Munro et al. 1990). The development and application of the SWAP
training set is very well documented in the publications cited below and in
many subsequent projects which have applied SWAP training set in other contexts
or compared its performance with that of new training sets.
(Click for Interactive Map)
Data Set Citation
Dataset Originator/Creator: SWAP Participants
Dataset Title: European Diatom Database-Surface Waters Acidification Programme
Dataset Release Place: Newcastle upon Tyne, United Kingdom
Dataset Publisher: The University of Newcastle
This data set description is a member of a collection. The collection is described in
Start Date: 1979-01-01Stop Date: 2009-09-30
Latitude Resolution: 2.5 degree
Longitude Resolution: 2.5 degree
Horizontal Resolution Range: 250 km - < 500 km or approximately 2.5 degrees - < 5.0 degrees
Temporal Resolution: Monthly
Temporal Resolution Range: Monthly - < Annual
ISO Topic Category
Distribution Media: Online (FTP)
Distribution Size: 9 MB per year
Distribution Format: Binary with ASCII header
Email: Robert.F.Adler at nasa.gov
Mesoscale Atmospheric Processes Branch Laboratory for Atmospheres NASA/Goddard Space Flight Center Code 613 USA
Province or State: MD
Postal Code: 20771
Email: david.t.bolvin at nasa.gov
NASA Goddard Space Flight Center Mailstop 613.1
Province or State: MD
Postal Code: 20771
Email: George.J.Huffman at nasa.gov
NASA Goddard Space Flight Center Mailstop 612
Province or State: Maryland
Postal Code: 20771
Adler, R.F., G.J. Huffman, and P.R. Keehn 1994: Global rain estimates
from microwave-adjusted geosynchronous IR data. Remote Sens. Rev.,
Arkin, P.A., and B. N. Meisner, 1987: The relationship between
large-scale convective rainfall and cold cloud over the Western
Hemisphere during 1982-1984. Mon. Wea. Rev., ... 115, 51-74.
Grody, N.C., 1991: Classification of snow cover and precipitation
using the Special Sensor Microwave/Imager (SSM/I). J. Geophys. Res.,
Hollinger, J.P., J.L. Pierce, and G.A. Poe, 1990: SSM/I instrument
evaluation. IEEE Trans. Geosci. Remote Sens., 28, 781-790.
Huffman, G.J., 1997a: Estimates of root-mean-square random error
contained in finite sets of estimated precipitation. J. Appl.
Meteor., 36, 1191-1201.
Huffman, G.J., ed., 1997b: The Global Precipitation Climatology
Project monthly mean precipitation data set. WMO/TD No. 808, WMO,
Geneva, Switzerland. 37pp.
Huffman, G.J., R.F. Adler, B. Rudolf, U. Schneider, and P.R. Keehn,
1995: Global precipitation estimates based on a technique for
combining satellite-based estimates, rain gauge analysis, and NWP
model precipitation information. J. Climate, 8, 1284-1295.
Huffman, G.J., R.F. Adler, P.A. Arkin, A. Chang, R. Ferraro,
A. Gruber, J. Janowiak, R.J. Joyce, A. McNab, B. Rudolf, U. Schneider,
and P. Xie, 1997: The Global Precipitation Climatology Project (GPCP)
Combined Precipitation Data Set. Bull. Amer. Meteor. Soc., 78, 5-20.
Janowiak, J.E., and P.A. Arkin, 1991: Rainfall variations in the
tropics during 1986-1989. J. Geophys. Res., 96, 3359-3373.
Joyce, R.J., J.E. Janowiak, and G.J. Huffman, 2001: Latitudinal and
Seasonal Dependent Zenith Angle Corrections for Geostationary
Satellite IR Brightness Temperatures. J. Appl. Meteor., accepted.
Krajewski, W.F., G.J. Ciach, J.R. McCollum, and C. Bacotiu, 2000:
Initial validation of the Global Precipitation Climatology Project
over the United States. J. Appl. Meteor., 39, 1071-1087.
Legates, D.R, 1987: A climatology of global precipitation. Pub. in
Climatol., 40, U. of Delaware.
McNab, A., 1995: Surface Reference Data Center Product Guide. National
Climatic Data Center, Asheville,NC, 10 pp.
Morrissey, M.L., and J. S. Green, 1991: The Pacific Atoll Raingauge
Data Set. Planetary Geosci. Div. Contrib. 648, Univ. of Hawaii,
Honolulu, HI, 45 pp.
Rudolf, B., 1993: Management and analysis of precipitation on a
routine basis. Proc. Internat. WMO/IAHS/ETH SYMP. on Precip. and
Evap., Slovak Hydromet. Inst., Bratislava, Sept. 1993, 1, 69-76.
Susskind, J., and J. Pfaendtner, 1989: Impact of interactive physical
retrievals on NWP. Report on the Joint ECMWF/EUMETSAT Workshop on the
Use of Satellite Data iomn Operational Weather Prediction: 1989-1993,
Vol. 1, T. Hollingsworth, Ed., ECMWF, Shinfield Park, Reading RG2 9AV,
Susskind, J., P. Piraino, L. Rokke, L. Iredell, and A. Mehta, 1997:
Characteristics of the TOVS Pathfinder Path A Dataset. Bull.
Amer. Meteor. Soc., 78, 1449-1472.
Weng, F., and N.C. Grody, 1994: Retrieval of cloud liquid water using
the Special Sensor Microwave Imager (SSM/I). J. Geophys. Res., 99,
Wilheit, T., A. Chang and L. Chiu, 1991: Retrieval of monthly rainfall
indices from microwave radiometric measurements using probability
distribution function. J. Atmos. Ocean. Tech., 8, 118-136.
Willmott, C.J., C.M. Rowe, and W.D. Philpot, 1985: Small-scale climate
maps: A sensitivity analysis of some common assumptions associated
with grid-point interpolation and contouring. Amer. Cartographer, 12,
WCRP, 1986: Report of the workshop on global large scale precipitation
data sets for the World Climate Research Programme. WCP-111, WMO/TD -
No. 94, WMO, Geneva, 45 pp.
Xie, P., J.E. Janowiak, and P.A. Arkin, 2000: An improved global
precipitation index based on satellite-observed outgoing longwave
radiation. (to be submitted to J. Climate)
Xie, P., and P.A. Arkin, 1998: Global monthly precipitation estimates
from satellite-observed outgoing longwave radiation. J. Climate,
Xie, P., and P.A. Arkin, 1997: Global precipitation: A 17-year monthly
analysis based on gauge observations, satellite estimates, and
numerical model outputs. BAMS, vol.78, 2539-2558.
Xie, P., and P.A. Arkin, 1996: Analysis of global monthly
precipitation using gauge observations, satellite estimates, and
numerical model predictions. J. Climate, 9, 840-858.
Creation and Review Dates
DIF Creation Date: 2010-05-18
Last DIF Revision Date: 2010-05-18