On the contribution of lakes in predicting near-surface temperature in a
                        global weather forecasting model

Balsamo, Gianpaolo; Salgado, Rui; Dutra, Emanuel; Boussetta, Souhail; Stockdale, Tim; Potes, Miguel

doi:10.3402/tellusa.v64i0.15829

Cited by 131 publications

(140 citation statements)

References 10 publications

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“…As RCMs and standalone lake models are being applied to increasingly remote lakes, the need to consider this data quality issue grows (Martynov et al, 2010). Finally, in the absence of initialisation data, several approaches to lake temperature initialisation and spin-up have been applied in the past (Kourzeneva et al, 2008;Mironov et al, 2010;Balsamo et al, 2012;Hernández-Díaz et al, 2012;Rontu et al, 2012). Hence, a systematic study of the sensitivity of the model to different sources of error is appropriate.…”

Section: Sensitivity Studymentioning

confidence: 99%

Understanding the performance of the FLake model over two African Great Lakes

Thiery

Martynov

Darchambeau³

et al. 2014

Geosci. Model Dev.

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Abstract. The ability of the one-dimensional lake model FLake to represent the mixolimnion temperatures for tropical conditions was tested for three locations in East Africa: Lake Kivu and Lake Tanganyika's northern and southern basins. Meteorological observations from surrounding automatic weather stations were corrected and used to drive FLake, whereas a comprehensive set of water temperature profiles served to evaluate the model at each site. Careful forcing data correction and model configuration made it possible to reproduce the observed mixed layer seasonality at Lake Kivu and Lake Tanganyika (northern and southern basins), with correct representation of both the mixed layer depth and water temperatures. At Lake Kivu, mixolimnion temperatures predicted by FLake were found to be sensitive both to minimal variations in the external parameters and to small changes in the meteorological driving data, in particular wind velocity. In each case, small modifications may lead to a regime switch, from the correctly represented seasonal mixed layer deepening to either completely mixed or permanently stratified conditions from ∼ 10 m downwards. In contrast, model temperatures were found to be robust close to the surface, with acceptable predictions of near-surface water temperatures even when the seasonal mixing regime is not reproduced. FLake can thus be a suitable tool to parameterise tropical lake water surface temperatures within atmospheric prediction models. Finally, FLake was used to attribute the seasonal mixing cycle at Lake Kivu to variations in the near-surface meteorological conditions. It was found that the annual mixing down to 60 m during the main dry season is primarily due to enhanced lake evaporation and secondarily to the decreased incoming long wave radiation, both causing a significant heat loss from the lake surface and associated mixolimnion cooling.

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Section: Sensitivity Studymentioning

confidence: 99%

Understanding the performance of the FLake model over two African Great Lakes

Thiery

Martynov

Darchambeau³

et al. 2014

Geosci. Model Dev.

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“…In these environments small water bodies can represent up to 10 % of the local land surface area (MacKay et al, 2009;Nordbo et al, 2011;Bouin et al, 2012). Although few studies have focused specifically on analysing the impact of small lakes on regional climates, authors such as MacKay et al (2009), Balsamo et al (2012) and Martynov et al (2012) have indicated the potential importance of these water bodies in modifying the local climates of regions where they are abundant. Currently, the effect of small to medium size lakes in most numerical weather prediction (NWP) and climate modelling systems is either entirely ignored or crudely parameterized (Mironov et al, 2010).…”

Section: Introductionmentioning

confidence: 99%

Modelling sub-daily latent heat fluxes from a small reservoir

McGloin

McGowan

McJannet

et al. 2014

Journal of Hydrology

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Accurate methods of latent heat flux quantification are essential for water management and for use in hydrological and meteorological models. Currently the effect of small lakes in most numerical weather prediction modelling systems is either entirely ignored or crudely parameterized. In order to test methods for modelling hourly latent heat flux from small water bodies, this study compares results from several modelling approaches to values measured by the eddy covariance method at an agricultural reservoir in southeast Queensland, Australia.Mass transfer estimates of LE calculated using the theoretical mass transfer model and using the Tanny et al. (2008)

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“…However, at the regional and local scales, the lake surface can be very large, as is the case in Northern Europe, Asia and North America. The high density of lakes in these regions may affect the regional climate (Balsamo et al, 2012;Kheyrollah Pour et al, 2012). In particular, on summer days, the presence of a lake tends to stabilise the atmosphere, in contrast with land, where turbulence tends to develop.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of the lake model FLake over a coastal lagoon during the THAUMEX field campaign

Moigne¹,

Legain²,

Lagarde³

et al. 2013

Tellus A: Dynamic Meteorology and Oceanography

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A B S T R A C T The THAUMEX measurement campaign, carried out during the summer of 2011 in Thau, a coastal lagoon in southern France, focused on episodes of marine breezes. During the campaign, three intensive observation periods (IOPs) were conducted and a large amount of data were collected. Subsequently, standalone modelling using the FLake lake model was used, first to assess the surface temperature and the surface energy balance, and second to determine the energy budget of the water column at the measurement site. Surface fluxes were validated against in situ measurements, and it was determined that heat exchanges are dominated by evaporation. We also demonstrated that the model was sensitive to the light extinction coefficient at Thau, due to its shallowness and clarity nature. A heat balance was calculated, and the inclusion of a radiative temperature has improved it, especially by reducing the nocturnal evaporation. The FLake lake model was then evaluated in three-dimensional numerical simulations performed with the Meso-NH mesoscale model, in order to assess the changing structure of the boundary layer above the lagoon during the IOPs more accurately. We highlighted the first time ever when Meso-NH and FLake were coupled and proved the ability of the coupled system to forecast a complex phenomenon but also the importance of the use of the FLake model was pointed out. We demonstrated the impact of the lagoon and more precisely the Lido, a sandy strip of land between the lagoon and the Mediterranean Sea, on the vertical distribution of turbulent kinetic energy, evidence of the turbulence induced by the breeze. This study showed the complementarities between standalone and coupled simulations.

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On the contribution of lakes in predicting near-surface temperature in a global weather forecasting model

Cited by 131 publications

References 10 publications

Understanding the performance of the FLake model over two African Great Lakes

Understanding the performance of the FLake model over two African Great Lakes

Modelling sub-daily latent heat fluxes from a small reservoir

Evaluation of the lake model FLake over a coastal lagoon during the THAUMEX field campaign

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