Evaluation of Spatial Interpolation Techniques for Operational Climate Monitoring in the Philippines-Reference-Cited by-同舟云学术

Evaluation of Spatial Interpolation Techniques for Operational Climate Monitoring in the Philippines

Published:2017 Issue:0 Volume:13 Page:114-119
ISSN:1349-6476
Container-title:SOLA
language:en
Short-container-title:SOLA

Author:

Basconcillo Joseph Q.¹²,Duran Ger Anne W.¹,Francisco Aaron A.²,Abastillas Rusy G.¹,Hilario Flaviana D.¹²,Juanillo Edna L.¹²,Solis Ana Liza S.¹,Lucero Anthony Joseph R.¹²,Maratas Shalou-Lea A.¹

Affiliation:

1. Philippine Atmospheric, Geophysical, and Astronomical Services Administration, Department of Science and Technology

2. National Research Council of the Philippines, Department of Science and Technology

Publisher

Meteorological Society of Japan

Subject

Atmospheric Science

Link

https://www.jstage.jst.go.jp/article/sola/13/0/13_2017-021/_pdf

Reference21 articles.

1. Bastin, G., B. Lorent, C. Duque, and M. Gevers, 1984: Optimal estimation of the average rainfall and optimal selection of rain gauge locations. Water Resour. Res., 20, 463-470.

2. Collins, F. C., 1996: A comparison of spatial interpolation techniques in temperature estimation. Proceedings of the Third International Conference Workshop on Integrating GIS and Environmental Modelling. United States.

3. Coronas, J., 1920: The Climate and Weather of the Philippines: 1903-1918. Manila: Bureau of Printing.

4. Dai, A., I. Y. Fung, and A. D. Del Genio, 1997: Surface observed global land precipitation variations during 1900-1988. J. Climate, 10, 2943-2962.

5. de los Reyes, Mona Liza, and D. Wilfredo, 2009: The effect of El Niño on rice production in the Philippines. The Philippine Agricultural Scientist, 92, 170-185.

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