Records
Author
Baigorria, G.A. ; Jones, J.W. ; O'Brien, J.J.
Title
Potential predictability of crop yield using an ensemble climate forecast by a regional circulation model
Type
$loc['typeJournal Article']
Year
2008
Publication
Agricultural and Forest Meteorology
Abbreviated Journal
Agricultural and Forest Meteorology
Volume
148
Issue
8-9
Pages
1353-1361
Keywords
crop yield forecast ; regional circulation models ; crop models ; bias-correction ; principal components ; statistical downscaling ; CERES-Maize
Abstract
Address
Corporate Author
Thesis
Publisher
Place of Publication
Editor
Language
Summary Language
Original Title
Series Editor
Series Title
Abbreviated Series Title
Series Volume
Series Issue
Edition
ISSN
0168-1923
ISBN
Medium
Area
Expedition
Conference
Funding
Approved
$loc['no']
Call Number
COAPS @ mfield @
Serial
407
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Author
Bourassa, MA ; Weissman, DE
Title
The development and application of a sea surface stress model function for the QuikSCAT and ADEOS-II SeaWinds scatterometers
Type
$loc['typeConference Article']
Year
2003
Publication
IEEE International Symposium on Geoscience and Remote Sensing (IGARSS)
Abbreviated Journal
Volume
Issue
Pages
239-241
Keywords
component ; surface stress ; SeaWinds ; scatterometer ; validation
Abstract
Address
Corporate Author
Thesis
Publisher
Place of Publication
Editor
Language
Summary Language
Original Title
Series Editor
Series Title
Abbreviated Series Title
Series Volume
Series Issue
Edition
ISSN
ISBN
Medium
Area
Expedition
Conference
23rd International Geoscience and Remote Sensing Symposium (IGARSS 2003)
Funding
Approved
$loc['no']
Call Number
COAPS @ mfield @
Serial
485
Permanent link to this record
Author
Wu, Z. ; Feng, J. ; Qiao, F. ; Tan, Z.-M.
Title
Fast multidimensional ensemble empirical mode decomposition for the analysis of big spatio-temporal datasets
Type
$loc['typeJournal Article']
Year
2016
Publication
Philosophical Transactions. Series A, Mathematical, Physical, and Engineering Sciences
Abbreviated Journal
Philos Trans A Math Phys Eng Sci
Volume
374
Issue
2065
Pages
20150197
Keywords
adaptive and local data analysis ; data compression ; empirical orthogonal function ; fast algorithm ; multidimensional ensemble empirical mode decomposition ; principal component analysis
Abstract
In this big data era, it is more urgent than ever to solve two major issues: (i) fast data transmission methods that can facilitate access to data from non-local sources and (ii) fast and efficient data analysis methods that can reveal the key information from the available data for particular purposes. Although approaches in different fields to address these two questions may differ significantly, the common part must involve data compression techniques and a fast algorithm. This paper introduces the recently developed adaptive and spatio-temporally local analysis method, namely the fast multidimensional ensemble empirical mode decomposition (MEEMD), for the analysis of a large spatio-temporal dataset. The original MEEMD uses ensemble empirical mode decomposition to decompose time series at each spatial grid and then pieces together the temporal-spatial evolution of climate variability and change on naturally separated timescales, which is computationally expensive. By taking advantage of the high efficiency of the expression using principal component analysis/empirical orthogonal function analysis for spatio-temporally coherent data, we design a lossy compression method for climate data to facilitate its non-local transmission. We also explain the basic principles behind the fast MEEMD through decomposing principal components instead of original grid-wise time series to speed up computation of MEEMD. Using a typical climate dataset as an example, we demonstrate that our newly designed methods can (i) compress data with a compression rate of one to two orders; and (ii) speed-up the MEEMD algorithm by one to two orders.
Address
School of Atmospheric Sciences, Nanjing University, Nanjing, Jiangsu Province, People's Republic of China
Corporate Author
Thesis
Publisher
Place of Publication
Editor
Language
English
Summary Language
Original Title
Series Editor
Series Title
Abbreviated Series Title
Series Volume
Series Issue
Edition
ISSN
1364-503X
ISBN
Medium
Area
Expedition
Conference
Funding
PMID:26953173; PMCID:PMC4792406
Approved
$loc['no']
Call Number
COAPS @ mfield @
Serial
57
Permanent link to this record