Assessment of climate variability by using Fourier components

G. J. Roerink; M. Menenti; Z. Su

doi:10.1109/IGARSS.1999.773604

Assessment of climate variability by using Fourier components

G. J. Roerink^*, M. Menenti, Z. Su

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

1 Citation (Scopus)

Abstract

In order to understand, identify and quantify the climatic effects on the regional ecosystems, the relation between climate parameters and the Normalized Difference Vegetation Index (NVDI) was studied. For this purpose, the yearly precipitation and net radiation, which are output parameters of the weather prediction model RACMO, were used. The Harmonic ANalysis of Time Series (HANTS) algorithm was used to analyze the data. The HANTS algorithm perfectly described the temporal behavior of land surface parameters.

Original language	English
Title of host publication	IEEE 1999 International Geoscience and Remote Sensing Symposium. IGARSS'99
Place of Publication	Hamburg
Publisher	IEEE
Pages	681-683
Number of pages	3
ISBN (Print)	0-7803-5207-6
DOIs	https://doi.org/10.1109/IGARSS.1999.773604
Publication status	Published - Jul 1999
Externally published	Yes
Event	IEEE International Geoscience and Remote Sensing Symposium, IGARSS 1999: Remote Sensing of the Systems Earth - A Challenge for the 21st Century - Hamburg, Germany Duration: 28 Jun 1999 → 2 Jul 1999

Conference

Conference	IEEE International Geoscience and Remote Sensing Symposium, IGARSS 1999
Abbreviated title	IGARSS 1999
Country/Territory	Germany
City	Hamburg
Period	28/06/99 → 2/07/99

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10.1109/IGARSS.1999.773604

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title = "Assessment of climate variability by using Fourier components",

abstract = "In order to understand, identify and quantify the climatic effects on the regional ecosystems, the relation between climate parameters and the Normalized Difference Vegetation Index (NVDI) was studied. For this purpose, the yearly precipitation and net radiation, which are output parameters of the weather prediction model RACMO, were used. The Harmonic ANalysis of Time Series (HANTS) algorithm was used to analyze the data. The HANTS algorithm perfectly described the temporal behavior of land surface parameters.",

author = "Roerink, {G. J.} and M. Menenti and Z. Su",

year = "1999",

month = jul,

doi = "10.1109/IGARSS.1999.773604",

language = "English",

isbn = "0-7803-5207-6",

pages = "681--683",

booktitle = "IEEE 1999 International Geoscience and Remote Sensing Symposium. IGARSS'99",

publisher = "IEEE",

address = "United States",

note = "IEEE International Geoscience and Remote Sensing Symposium, IGARSS 1999 : Remote Sensing of the Systems Earth - A Challenge for the 21st Century, IGARSS 1999 ; Conference date: 28-06-1999 Through 02-07-1999",

}

TY - GEN

T1 - Assessment of climate variability by using Fourier components

AU - Roerink, G. J.

AU - Menenti, M.

AU - Su, Z.

PY - 1999/7

Y1 - 1999/7

N2 - In order to understand, identify and quantify the climatic effects on the regional ecosystems, the relation between climate parameters and the Normalized Difference Vegetation Index (NVDI) was studied. For this purpose, the yearly precipitation and net radiation, which are output parameters of the weather prediction model RACMO, were used. The Harmonic ANalysis of Time Series (HANTS) algorithm was used to analyze the data. The HANTS algorithm perfectly described the temporal behavior of land surface parameters.

AB - In order to understand, identify and quantify the climatic effects on the regional ecosystems, the relation between climate parameters and the Normalized Difference Vegetation Index (NVDI) was studied. For this purpose, the yearly precipitation and net radiation, which are output parameters of the weather prediction model RACMO, were used. The Harmonic ANalysis of Time Series (HANTS) algorithm was used to analyze the data. The HANTS algorithm perfectly described the temporal behavior of land surface parameters.

UR - https://ezproxy2.utwente.nl/login?url=https://doi.org/10.1109/IGARSS.1999.773604

U2 - 10.1109/IGARSS.1999.773604

DO - 10.1109/IGARSS.1999.773604

M3 - Conference contribution

AN - SCOPUS:0033317644

SN - 0-7803-5207-6

SP - 681

EP - 683

BT - IEEE 1999 International Geoscience and Remote Sensing Symposium. IGARSS'99

PB - IEEE

CY - Hamburg

T2 - IEEE International Geoscience and Remote Sensing Symposium, IGARSS 1999

Y2 - 28 June 1999 through 2 July 1999

ER -

Assessment of climate variability by using Fourier components

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