Abstract
Evaporation and evapotranspiration (ET) estimation models require meteorological observations as input. The quality of the input data determines the quality of evaporation and evapotranspiration estimation. It is important to discuss the subject of meteorological monitoring, types of sensors, and challenges of operation and maintenance. In this chapter, the most common meteorological variables and examples of respective sensors are presented. Examples of meteorological data quality variations that reflect characteristics of most monitoring systems are presented. The significance of input meteorological data quality in determining the quality of ET estimates is addressed.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Abtew W, Iricanin N (2008) Hurricane effects on South Florida Water Management System: a case study of Hurricane Wilma of October 2005. J Spat Hydrol 8(1):1–21
Abtew W, Obeysekera J (1995) Lysimeter study of evapotranspiration of cattails and comparison of three estimation methods. Trans ASAE 38(1):121–129
Abtew W, Borrelli J, Gregory JM (1989) Wind profile: estimation of displacement height and aerodynamic roughness. Trans ASAE 32(2):521–527
Abtew W, Pathak C, Huebner RS, Ciuca V (2007) Chapter 2, Hydrology of the South Florida environment. Appendix 2-2: Hydrologic monitoring network of the South Florida Water Management District. In: Pathak C (ed) 2007 South Florida environmental report. South Florida Water Management District, West Palm Beach, FL. www.sfwmd.gov/sfer. Accessed 3 Aug 2012
Allen RG, Walter IA, Elliott R, Howell T, Itenfsu D, Jensen M (eds) (2005) The ASCE standard reference evapotranspiration equation. ASCE, Reston
Borrelli J, Gregory JM, Abtew W (1989) Wind barriers: a reevaluation of height, spacing, and porosity. Trans ASAE 32(6):2023–2027
Bosen JF (1958) An approximation formula to compute relative humidity from dry bulb and dew point temperatures. Mon Weather Rev 86(12):486
Cogley JG (1979) The albedo of water as a function of latitude. Am Meteorol Soc 1979(June):775–781
Crowell ML, Mtundu ND (2000) Guidelines for quality control and quality assurance of hydrologic and meteorological data. Volume 2: Data management. South Florida Water Management District, West Palm Beach
Jensen ME (ed) (1974) Consumptive use of water and irrigation water requirements. Report prepared by Technical Committee on irrigation water requirements. Irrigation and Drainage Division, ASCE, New York
Jin K, James RT, Lung W, Louks DP, Park RA (1998) Assessing Lake Okeechobee eutrophication with water quality models. J Water Resour Plan Manage 124(1):22–30
Kinsman G, Kite J, Mtundu D (1994) Guidelines for the collection of hydrologic and meteorological data volume I: field applications. South Florida Water Management District, West Palm Beach
World Meteorological Organization (1996) Guide to meteorological instruments and methods of observation. WMO-No. 8. Secretariat of WMO, Geneva
Acknowledgements
We would like to acknowledge Dr. Qinglong (Gary) Wu from South Florida Water Management District for taking the weather station and sensor photographs.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2013 Springer Science+Business Media Dordrecht
About this chapter
Cite this chapter
Abtew, W., Melesse, A. (2013). Meteorological Parameter Monitoring and Data Quality. In: Evaporation and Evapotranspiration. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-4737-1_2
Download citation
DOI: https://doi.org/10.1007/978-94-007-4737-1_2
Published:
Publisher Name: Springer, Dordrecht
Print ISBN: 978-94-007-4736-4
Online ISBN: 978-94-007-4737-1
eBook Packages: Earth and Environmental ScienceEarth and Environmental Science (R0)