World War II Era Summary of Day (WW-II) Data via WWW
Entry ID:
WW-II_NCDC
|
[
Get Data
]
[
Update this Record
]
|
Updating this record requires registration.
|
Summary
Abstract:
The World War II (WW-II) Era Summary of Day Data was put together in commemoration of the 50th anniversary of the war's end. WW-II contains 1940-1945 data for 162 stations outside of the United States. The actual period of data availability varies depending upon the station's activity. Many stations in the European and Pacific areas of operation are included. The ... data file has a 'header record' that
corresponds to the format file (format.txt). The format file also
describes the included elements, such as maximum/minimum temperature,
daily precipitation, snow depth, and peak wind gust.
To obtain the data via direct internet-FTP: open ftp.ncdc.noaa.gov
login: anonymous; password: your email address; cd
/pub/data/ww-ii-data; readme.txt file with information about data
along with a global plot (GIF file) of station locations.
This data set is also available via WWW. Link to:
http://www.ncdc.noaa.gov/ol/climate/online/ww-ii-data.html 
Related URL
|
Description:
World War II Era Summary of Day Dataset File
Description:
World War II Era Summary of Day Dataset reference information.
|
Geographic Coverage
(Click for Interactive Map)
Spatial coordinates
| |
N: 72.0
|
|
S: -30.0
|
|
E: 180.0
|
|
W: -180.0
|
Temporal Coverage
Start Date:
1940-01-01
Stop Date:
1945-12-31
Data Resolution
Latitude Resolution:
1 deg.
Longitude Resolution:
1 deg.
Horizontal Resolution Range:
100 km - < 250 km or approximately 1 degree - < 2.5 degrees
Temporal Resolution:
Daily
Temporal Resolution Range:
Daily - < Weekly
Quality
The 'version 004' or 'collection 004' product is better than 'version
003' and earlier versions. The quality of this version 004 product is
... established as 'Validated' . This means its accuracy has
been estimated using a small number of independent measurements
obtained from selected locations and time periods and ground-truth/field
program efforts. Product images look reasonable when compared to other
spaceborne instruments or comparable data in limited situations. Scientific
use should be performed with caution with careful reference to QA statements
provided with each product.For the latest information please see:
http://modis-atmos.gsfc.nasa.gov/products_calendar_overview.html.
Access Constraints
Available to public to gain familiarity with the data format and parameters.
Use Constraints
This Data set (version 004/collection 004) is of 'Validated'
Quality. This data is appropriate for use in scientific publications.
Before using it in any publication please the contact science team
representative for the known problems and updates.
Distribution
Distribution Media:
(Online) FTP
Distribution Size:
15 GB
Distribution Format:
HDF
Fees:
None
Personnel
Role:
DIF AUTHOR
Phone:
301-352-2109
Email:
gang.ye at sigmaspace.com
Role:
TECHNICAL CONTACT
Phone:
301-731-2917, 1-866-506-6347 (toll-free - US only)
Fax:
301-577-6622
Email:
modapsuso at sigmaspace.com
Contact Address:
LAADS User Support Team
4801 Forbes Boulevard
City:
Lanham
Province or State:
MD
Postal Code:
20706
Country:
USA
Role:
INVESTIGATOR
Phone:
202-767-8252
Fax:
202-404-8894
Email:
gao at rsd.nrl.navy.mil
Contact Address:
Naval Research Laboratory
Remote Sensing Division, Code 7212
4555 Overlook Ave., SW
City:
Washington
Province or State:
DC
Postal Code:
20375-5320
Country:
USA
Role:
INVESTIGATOR
Role:
INVESTIGATOR
Phone:
301-614-5636
Fax:
301-614-5620
Email:
michael.d.king at nasa.gov
Contact Address:
NASA
Goddard Space Flight Center
Mailstop 610.0
City:
Greenbelt
Province or State:
MD
Postal Code:
20771
Country:
USA
Role:
INVESTIGATOR
Phone:
608-264-5325
Fax:
608-262-5974
Email:
paulm at ssec.wisc.edu
Contact Address:
NOAA/NESDIS
Space Science and Engineering Center
University of Wisconsin-Madison
1225 W. Dayton St.
City:
Madison
Province or State:
WI
Postal Code:
53706
Country:
USA
Role:
INVESTIGATOR
Phone:
33 (0) 320337033
Fax:
33 (0)3 20 43 43 42
Email:
tanre at loa.univ-lille1.fr
Contact Address:
Laboratorie d'Optique Atmospherique
Bat. P5, U.S.T. deLille
Villeneuve d'Ascq Cedex
Postal Code:
59655
Country:
FRANCE
Publications/References
Ackerman, S. K. Strabala, P. Menzel, R. Frey, C. Moeller, and L. Gumley, 1998: Discriminating clear sky from clouds with MODIS. J. Geophys. Res., 103, 32141-32157 Ackerman, S. A., W. L. Smith and H. E. Revercomb, 1990: The 27-28 October 1986 FIRE IFO cirrus case study: spectral properties of cirrus ... clouds in the 8-12 micron window. Mon. Wea. Rev., 118, 2377-2388.
Chu, D. A., K. Strabala, S. Platnick, E. Moody, M. King, S. Mattoo,
R. Hucek, and B. Ridgway, 2000: MODIS Atmosphere QA Plan. Version 2.2
, NASA Goddard Space Flight Center, 46 pp.
Chu, D. A., Y. J. Kaufman, L. A. Remer, and B. N. Holben,1998: Remote
sensing of smoke from MODIS Airborne Simulator during SCAR-B
experiment. Journal of Geophysical Research, 103, 31979-31988.
Gao, B. C., and Y. J. Kaufman.1998: The MODIS Near-infrared Water
Vapor Algorithm, Algorithm Theoretical Basis Document,ATBD-MOD-03,
NASA Goddard Space Flight Center,25 pp.
Gao, B. C. , and Y. J. Kaufman,1997: MODIS Total Precipitable Water,
MTPE EOS Data Products Handbook,93-94.
Gao, B. -C, A. F. H. Goetz, and W. J. Wiscombe, 1993: Cirrus detection
from Airborne Imaging Radiometer using 1.38 micron water vapor
band. Geophys. Res. Letter, 4,301-304.
Gao, B. C., and Alexander F. H. Goetz,1990: Column Atmospheric Water
Vapor and Vegetation Liquid Water Retrievals From Airborne Imaging
Spectrometer Data, J. Geophys. Res., 95, 3549-3564.
Kaufman, Y. J., and D. Tanre,1998: Algorithm For Remote Sensing of
Tropospheric Aerosol from MODIS, Algorithm Theoretical Basis Document,
ATBD-MOD-02, NASA Goddard Space Flight Center,85 pp.
Kaufman, Y. J., and D. Tanre,1997: MODIS Aerosol Product, in MTPE EOS
Data Products Handbook,107-108.
Kaufman, Y. J., D. Tanre, L. Remer, E. F.Vermote, A. Chu, &
B. N. Holben, 1997: Operational remote sensing of tropospheric aerosol
over the land from EOS-MODIS. Journal of Geophysical Research,
102(14), 17051-17068.
Kaufman, Y. J., and B.-C. Gao, Remote sensing of water vapor in the
near IR from EOS/MODIS, IEEE Trans. Geosci. Remote Sensing,, 30,
871-884, 1992.
King, M., Y. Kaufman, P. Menzel, D.Tanre, B. Gao, 1999: MODIS
Atmosphere Validation Plan, NASA Goddard Space Flight Center, 48 pp.
King, M. D., S. C. Tsay, S. E. Platnick, M. Wang, and K. Liou, 1997:
Cloud Retrieval Algorithms for MODIS: Optical Thickness, Effective
Particle Radius, and Thermodynamic Phase , Algorithm Theoretical Basis
Document, ATBD-MOD-05, NASA Goddard Space Flight Center,
King, M. D., W. P. Menzel, P. S. Grant, J. S. Myers, G. T. Arnold,
S. E. Platnick, L. E.Gumley, S. C. Tsay, C. C. Moeller, M. Fitzgerald,
K. S. Brown and F. G.Osterwisch, 1996: Airborne scanning spectrometer
for remote sensing of cloud, aerosol, water vapor and surface
properties. J. Atmos. Oceanic Technol.,13, 777–794.
King, M. D., Y. J. Kaufman, W. P. Menzel and D. Tanr?, 1992: Remote
sensing of cloud, aerosol and water vapor properties from the Moderate
Resolution Imaging Spectrometer (MODIS). IEEE Trans. Geosci. Remote
Sens., 30, 2–27.
King, M. D., 1987: Determination of the scaled optical thickness of
clouds from re-flected solar radiation measurements. J. Atmos. Sci.,
44, 1734–1751.
King, M. D., M. G. Strange, P. Leone and L. R. Blaine, 1986:
Multiwavelength scanningradiometer for airborne measurements of
scattered radiation within clouds. J. Atmos. Oceanic Technol., 3,
513–522.
King, M. D., 1981: A method for determining the single scattering
albedo of clouds through observation of the internal scattered
radiation field. J. Atmos.Sci., 38, 2031–204.
Menzel, W. P., and L. E. Gumley, 1998: MODIS Atmospheric Profiles
Retrieval Algorithm Theoretical Basis Document. ATBD-MOD-07, NASA
Goddard Space Flight Center, pp.
Menzel, W. P.,and L. E. Gumley, 1997:MODIS Atmospheric Profiles ,in
MTPE EOS Data Products Handbook, pp 164-166.
Menzel, P., and M. King, 1997:MODIS Cloud Product, in MTPE EOS Data
Products Handbook,109-111.
Menzel, P., and K. Strabela. 1997: Cloud Top Properties and Cloud
Phase, Algorithm Theoretical Basis Document. ATBD-MOD-04, NASA Goddard
Space Flight Center,56 pp.
Nakajima, T., M. D. King , J. D. Spinhirne and L. F. Radke, 1991:
Determination of the optical thickness and effective particle radius
of clouds from reflected solar radiation measurements. Part II: Marine
stratocumulus observations. J. Atmos. Sci., 48, 728–750.
Nakajima, T., and M. D. King, 1990: Determination of the optical
thickness and effective particle radius of clouds from reflected solar
radiation measurements. Part I: Theory. J. Atmos. Sci., 47,
1878–1893.
Remer, L. A., Y. J. Kaufman, and B. N. Holben, 1996: The size
distribution of ambient aerosol particles: Smoke vs. urban/industrial
aerosol. Global biomass burning. Cambridge MA: MIT Press.
Rossow, W. B., and L.C. Gardner, 1993: Cloud detection using satellite
measurements of infrared and visible radiances for ISCCP, J. Climate,
6, 2341-2369.
Strabala, K. I., S. A. Ackerman and W. P. Menzel, 1994: Cloud
properties inferred from 8-12 micron data. J. Appl. Meteor, 33, No. 2,
212-229.
Tanre, D., Y. J. Kaufman, M. Herman, and S. Mattoo, 1997: Remote
sensing of aerosol properties over oceans using the MODIS/EOS spectral
radiances. Journal of Geophysical Research, 102, 16971-16988.
Tanre, D., M. Herman, and Y. J. Kaufman, 1996: Information on aerosol
size distribution contained in solar reflected radiances. Journal of
Geophysical Research-Atmospheres, 101, 19043-19060.
Extended Metadata Properties
(Click to view more)
Creation and Review Dates
DIF Creation Date:
2003-04-03
Last DIF Revision Date:
2010-09-22
|
[
Update this Record
]
|
Updating this record requires registration.
|
|
