Next Article in Journal
Gaseous Products of Incense Coil Combustion Extracted by Passive Solid Phase Microextraction Samplers
Next Article in Special Issue
Case Study of Particle Number Fluxes and Size Distributions during Nucleation Events in Southeastern Italy in the Summer
Previous Article in Journal
Impacts of Boundary Conditions on the Simulation of Atmospheric Fields Using RegCM4 over CORDEX East Asia
Previous Article in Special Issue
The Concentrations and Reduction of Airborne Particulate Matter (PM10, PM2.5, PM1) at Shelterbelt Site in Beijing
Article Menu

Export Article

Open AccessArticle
Atmosphere 2015, 6(6), 805-821; doi:10.3390/atmos6060805

Land-Atmosphere Transfer Parameters in the Brazilian Pantanal during the Dry Season

1
CNR Istituto di Scienze dell'Atmosfera e del Clima, UOS Lecce, Via Monteroni, Lecce 73100, Italy
2
Universidade Federal da Bahia, Instituto de Física, Departamento de Física da Terra e do Meio Ambiente, Travessa Barão de Jeremoabo, s/n, Campus Ondina, Salvador 40170-280, BA, Brazil
3
Centro Regional da Amazônia, Instituto Nacional de Pesquisas Espaciais (INPE), Parque de C. & T. do Guamá, Av. Perimetral 2651, Lote 50, Belém 66.077-830, Pará, Brazil
*
Author to whom correspondence should be addressed.
Academic Editors: Daniele Contini and Robert W. Talbot
Received: 23 February 2015 / Accepted: 27 May 2015 / Published: 10 June 2015
View Full-Text   |   Download PDF [603 KB, uploaded 10 June 2015]   |  

Abstract

The Brazilian region of Pantanal is one of the largest wetlands in the world, characterized by a wet season, in which it is covered by a shallow water layer, and a dry season, in which the water layer disappears. The aim of this study is the estimation of the main parameters (drag coefficients and surface scale lengths) involved in modelling the surface atmosphere transfer of momentum, heat and water vapor from the dataset of the second Interdisciplinary Pantanal Experiment (IPE2). The roughness parameters and the stability correction parameters have been estimated in the framework of the similarity theory for the vertical profiles of wind speed and temperature. Thus, a previously-developed methodology was adapted to the available dataset from the IPE2 five-level mast. The results are in reasonable agreement with the available literature. An attempt to obtain the scalar transfer parameters for water vapor has been performed by a Penman–Monteith approach using a two-component surface resistance in parallel between a vegetation and a bare soil part. The parameters of the model have been calibrated using a non-linear regression method. The scalar drag coefficient retrieved in this way is in agreement with that calculated by the flux-gradient approach for the sensible heat flux. Eventually, an evaluation of the vegetation contribution to the total vapor flux is given. View Full-Text
Keywords: Pantanal; roughness length; displacement length; similarity relations; nonlinear regression; Penman–Monteith equation Pantanal; roughness length; displacement length; similarity relations; nonlinear regression; Penman–Monteith equation
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Martano, P.; Filho, E.P.M.; de Abreu Sá, L.D. Land-Atmosphere Transfer Parameters in the Brazilian Pantanal during the Dry Season. Atmosphere 2015, 6, 805-821.

Show more citation formats Show less citations formats

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Atmosphere EISSN 2073-4433 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top