Agronomy Journal Journal of Natural Resources and Life Sciences Education
HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
 QUICK SEARCH:   [advanced]


     


Published online 1 March 1994
Published in Agron J 86:332-337 (1994)
© 1994 American Society of Agronomy
677 S. Segoe Rd., Madison, WI 53711 USA
This Article
Right arrow Full Text (PDF)
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Similar articles in this journal
Right arrow Alert me to new issues of the journal
Right arrow Download to citation manager
Right arrow reprints & permissions
Citing Articles
Right arrow Citing Articles via HighWire
Right arrow Citing Articles via Google Scholar
Google Scholar
Right arrow Articles by Pickering, N. B.
Right arrow Articles by Godwin, D. C.
Right arrow Search for Related Content
PubMed
Right arrow Articles by Pickering, N. B.
Right arrow Articles by Godwin, D. C.
Agricola
Right arrow Articles by Pickering, N. B.
Right arrow Articles by Godwin, D. C.

WeatherMan: A Utility for Managing and Generating Daily Weather Data

N. B. Pickering*, J. W. Hansen and J. W. Jones

Agric. Eng. Dep., Univ. of Florida, Gainesville, FL 32611;

C. M. Wells

Dep. of Agric. Eng., Massey Univ., Private Bag, Palmerston North, New Zealand;

V. K. Chan

(formerly IBSNAT Project), Long Distance/USA Sprint, 925 Dillingham Blvd., Honolulu, HI 96817;

D. C. Godwin

(formerly Int. Fertilizer Development Ctr., Muscle Shoals, AL), Alton Park, MS 2, Dubbo, NSW 2830, Australia.

* Corresponding author.

Daily weather data commonly used in simulation models of agricultural or ecological systems are sometimes incomplete, frequently contain errors, and are often in an inconvenient format. The WeatherMan is a user-oriented software package designed to assist in preparing daily weather data for use with simulation models. The software can import or export daily weather files with any column format (including the Decision Support System for Agrotechnology Transfer ver. 2.1 and ver. 3.0 files) and convert the data to desirable units. Data are checked and flagged for possible errors on import. Several techniques are available for filling in missing values and erroneous data on export. WeatherMan also contains two methods (WGEN and SIMMETEO) for stochastically generating sequences of daily weather data. Both methods can be parameterized from the daily data and the second method uses monthly means from any secondary data source. Summary statistics of raw and generated data can be graphed or presented in tables.


Contribution from the Florida Inst. Of Food and Agric. Sci., Agric. Eng. Dep. Approved fir publication as Journal Series No. R-03501 by the Florida Aric. Exp. Stn. Partial funding from IBSNAT project of USAID through the Univ. of Hawaii, contract no. AID/DAN-4054-A-00-7081-00.

Received for publication May 21, 1993.


This article has been cited by other articles:


Home page
Agron. J.Home page
M. Bannayan, N. M. J. Crout, and G. Hoogenboom
Application of the CERES-Wheat Model for Within-Season Prediction of Winter Wheat Yield in the United Kingdom
Agron. J., January 1, 2003; 95(1): 114 - 125.
[Abstract] [Full Text] [PDF]


Home page
Agron. J.Home page
P. G. Jones and P. K. Thornton
MarkSim: Software to Generate Daily Weather Data for Latin America and Africa
Agron. J., May 1, 2000; 92(3): 445 - 453.
[Abstract] [Full Text]




HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS
The SCI Journals Crop Science Vadose Zone Journal
Journal of Natural Resources
and Life Sciences Education
Soil Science Society of America Journal
Journal of Plant Registrations Journal of
Environmental Quality
The Plant Genome
Copyright © 1994 by the American Society of Agronomy.