McMaster Mesonet soil moisture dataset: description and spatio-temporal variability analysis

被引:16
作者
Kornelsen, K. C. [1 ]
Coulibaly, P. [1 ,2 ]
机构
[1] McMaster Univ, Sch Geog & Earth Sci, Hamilton, ON, Canada
[2] McMaster Univ, Dept Civil Engn, Hamilton, ON, Canada
基金
加拿大自然科学与工程研究理事会;
关键词
REMOTE-SENSING FOOTPRINTS; SPATIAL VARIABILITY; TEMPORAL STABILITY; HIGH-RESOLUTION; SURFACE; TIME; ASSIMILATION; VALIDATION; CATCHMENT; EVOLUTION;
D O I
10.5194/hess-17-1589-2013
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
This paper introduces and describes the hourly, high-resolution soil moisture dataset continuously recorded by the McMaster Mesonet located in the Hamilton-Halton Watershed in Southern Ontario, Canada. The McMaster Mesonet consists of a network of time domain reflectometer (TDR) probes collecting hourly soil moisture data at six depths between 10 cm and 100 cm at nine locations per site, spread across four sites in the 1250 km(2) watershed. The sites for the soil moisture arrays are designed to further improve understanding of soil moisture dynamics in a seasonal climate and to capture soil moisture transitions in areas that have different topography, soil and land cover. The McMaster Mesonet soil moisture constitutes a unique database in Canada because of its high spatio-temporal resolution. In order to provide some insight into the dominant processes at the McMaster Mesonet sites, a spatio-temporal and temporal stability analysis were conducted to identify spatio-temporal patterns in the data and to suggest some physical interpretation of soil moisture variability. It was found that the seasonal climate of the Great Lakes Basin causes a transition in soil moisture patterns at seasonal timescales. During winter and early spring months, and at the meadow sites, soil moisture distribution is governed by topographic redistribution, whereas following efflorescence in the spring and summer, soil moisture spatial distribution at the forested site was also controlled by vegetation canopy. Analysis of short-term temporal stability revealed that the relative difference between sites was maintained unless there was significant rainfall (> 20 mm) or wet conditions a priori. Following a disturbance in the spatial soil moisture distribution due to wetting, the relative soil moisture pattern re-emerged in 18 to 24 h. Access to the McMaster Mesonet data can be provided by visiting www.hydrology.mcmaster.ca/mesonet.
引用
收藏
页码:1589 / 1606
页数:18
相关论文
共 55 条
[1]   Evaluating the Impact of Assimilating Soil Moisture Variability Data on Latent Heat Flux Estimation in a Land Surface Model [J].
Alavi, Nasim ;
Berg, Aaron A. ;
Warland, Jon S. ;
Parkin, Gary ;
Verseghy, Diana ;
Bartlett, Paul .
CANADIAN WATER RESOURCES JOURNAL, 2010, 35 (02) :157-172
[2]   From near-surface to root-zone soil moisture using an exponential filter: an assessment of the method based on in-situ observations and model simulations [J].
Albergel, C. ;
Ruediger, C. ;
Pellarin, T. ;
Calvet, J. -C. ;
Fritz, N. ;
Froissard, F. ;
Suquia, D. ;
Petitpa, A. ;
Piguet, B. ;
Martin, E. .
HYDROLOGY AND EARTH SYSTEM SCIENCES, 2008, 12 (06) :1323-1337
[3]  
BLOSCHL G, 1995, HYDROL PROCESS, V9, P251, DOI 10.1002/hyp.3360090305
[4]   Large scale measurements of soil moisture for validation of remotely sensed data: Georgia soil moisture experiment of 2003 [J].
Bosch, DD ;
Lakshmi, V ;
Jackson, TJ ;
Choi, M ;
Jacobs, JM .
JOURNAL OF HYDROLOGY, 2006, 323 (1-4) :120-137
[5]   Soil moisture spatial variability in experimental areas of central Italy [J].
Brocca, L. ;
Morbidelli, R. ;
Melone, F. ;
Moramarco, T. .
JOURNAL OF HYDROLOGY, 2007, 333 (2-4) :356-373
[6]   Spatial-temporal variability of soil moisture and its estimation across scales [J].
Brocca, L. ;
Melone, F. ;
Moramarco, T. ;
Morbidelli, R. .
WATER RESOURCES RESEARCH, 2010, 46
[7]   Assimilation of Observed Soil Moisture Data in Storm Rainfall-Runoff Modeling [J].
Brocca, L. ;
Melone, F. ;
Moramarco, T. ;
Singh, V. P. .
JOURNAL OF HYDROLOGIC ENGINEERING, 2009, 14 (02) :153-165
[8]   The role of spatial variability of soil moisture for modelling surface runoff generation at the small catchment scale [J].
Bronstert, A ;
Bárdossy, A .
HYDROLOGY AND EARTH SYSTEM SCIENCES, 1999, 3 (04) :505-516
[9]  
Campbell Scientific, 1999, ON LINE ESTIMATION O
[10]   Validation of ERS scatterometer-derived soil moisture data in the central part of the Duero Basin, Spain [J].
Ceballos, A ;
Scipal, K ;
Wagner, W ;
Martínez-Fernández, J .
HYDROLOGICAL PROCESSES, 2005, 19 (08) :1549-1566