Estimation of sensible heat flux at a tropical location: a performance evaluation of half-order time derivative method
Autor: | Olawale E. Abiye, Lukman A. Sunmonu, Ayodele P. Olufemi, Oladimeji A. Babatunde |
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Rok vydání: | 2019 |
Předmět: |
Convection
Daytime 010504 meteorology & atmospheric sciences Hygrometer Mean squared error 010401 analytical chemistry Eddy covariance Flux Sensible heat Atmospheric sciences 01 natural sciences 0104 chemical sciences Approximation error Environmental science Computers in Earth Sciences Statistics Probability and Uncertainty General Agricultural and Biological Sciences 0105 earth and related environmental sciences General Environmental Science |
Zdroj: | Modeling Earth Systems and Environment. 5:1215-1220 |
ISSN: | 2363-6211 2363-6203 |
DOI: | 10.1007/s40808-019-00638-3 |
Popis: | Measurement of surface energy balance (SEB) components such as sensible heat flux is a very fundamental input in weather forecast, hydrological, and air quality models among many other applications. The instrumentation for measuring SEB components is however resource-intensive and highly susceptible to damage under field-experiment conditions. A simple, less equipment-intensive, cost-effective, and relatively accurate method is thus required to overcome these setbacks. The present study, therefore evaluates the performance of a rather simple half-order time derivative (HTD) method in estimating sensible heat flux at a tropical location in West Africa (Ile-Ife, Nigeria 7°33′N, 4°33′E). HTD estimates of sensible heat flux were made from near surface atmospheric parameters measured during Phase I of the Nigerian Micrometeorological Experiment. At the same site, direct turbulence flux measurements from an eddy covariance system comprising a 3-D ultrasonic anemometer (USA-1) and a krypton hygrometer (KH20) were used as standard benchmark values for the HTD performance evaluation. Within a diurnal air temperature range of 18–34 °C, estimated daytime sensible heat flux reached a peak of 318.7 W m−2 and a lowest nighttime value of − 15.8 W m−2, indicating surface cooling. Statistical tests performed; mean bias error (MBE |
Databáze: | OpenAIRE |
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