An epilimnion and hypolimnion temperature model based on air temperature and lake characteristics

Prats, Jordi; Danis, P.A.

doi:10.1051/kmae/2019001

Cited by 35 publications

(38 citation statements)

References 108 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The model has been testified efficient in different regions [33] [34]. However, the original air2water is limited to simulate the surface temperature of open water, which results in difficulties for applications in lakes with long ice cover duration.…”

Section: B Methods 1) Modified Air2water Modelmentioning

confidence: 99%

Responses of Lake Ice Phenology to Climate Change at Tibetan Plateau

Guo

Zheng

et al. 2020

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

View full text Add to dashboard Cite

Lake ice phenology is a sensitive indicator reflecting global warming. In this paper, the long-term changes of lake ice phenology of the second largest lake at Tibetan Plateau (i.e., the Nam Co) in response to climate change are investigated based on mathematical modelling. The model has been testified capable of reproducing daily surface temperature of the lake in both frozen and unfrozen seasons. The lake ice phenology determined according to the simulated lake surface temperature is found consistent with that derived from satellite observation. For the Nam Co during the period 1978-2017, the freezing date has been delayed (reached up to 0.57days/year) whereas the thawing date became earlier (-0.23days/year). The trend of lake ice phenology is significantly correlated to the annual minimal lake surface and air temperature. Modelling experiment suggests that lake ice phenology of the Nam Co is very sensitive to a warmer climate. Under warmer future, much later freezing date and earlier thawing date are expected, hence the ice-covering duration would be significantly shortened.

show abstract

Section: B Methods 1) Modified Air2water Modelmentioning

confidence: 99%

Responses of Lake Ice Phenology to Climate Change at Tibetan Plateau

Guo

Zheng

et al. 2020

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

View full text Add to dashboard Cite

show abstract

“…Two stressors were considered: temperature and eutrophication. Because water temperatures were not available for all the lakes but are strongly correlated with air temperatures [71,72] (R 2 = 0.82), we used the latter to characterize lake temperatures. To this end we used data from the SAFRAN reanalysis [73,74], available at a spatial resolution of 8 km × 8 km.…”

Section: Environmental Datamentioning

confidence: 99%

How Do Eutrophication and Temperature Interact to Shape the Community Structures of Phytoplankton and Fish in Lakes?

Bouraï

Logez

Laplace-Treyture

et al. 2020

Water

View full text Add to dashboard Cite

Freshwater ecosystems are among the systems most threatened and impacted by anthropogenic activities, but there is still a lack of knowledge on how this multi-pressure environment impacts aquatic communities in situ. In Europe, nutrient enrichment and temperature increase due to global change were identified as the two main pressures on lakes. Therefore, we investigated how the interaction of these two pressures impacts the community structure of the two extreme components of lake food webs: phytoplankton and fish. We modelled the relationship between community components (abundance, composition, size) and environmental conditions, including these two pressures. Different patterns of response were highlighted. Four metrics responded to only one pressure and one metric to the additive effect of the two pressures. Two fish metrics (average body-size and biomass ratio between perch and roach) were impacted by the interaction of temperature and eutrophication, revealing that the effect of one pressure was dependent on the magnitude of the second pressure. From a management point of view, it appears necessary to consider the type and strength of the interactions between pressures when assessing the sensitivity of communities, otherwise their vulnerability (especially to global change) could be poorly estimated.

show abstract

“…The proposed method could be used, above all, in hydrobiological research, as an alternative to models to calculate the water temperature of inland water bodies, such as e.g., presented by [81], parameterized by using official monitoring data and the satellite temperature data, model, which is based on air temperature and on their geographical and morphological characteristics.…”

Section: Discussionmentioning

confidence: 99%

“…Ptak et al [32] showed that the course of the average annual water temperature in the years 1972-2016 indicates its clear warming, closely corresponding to the air temperature. Air temperature time series have also been used many times to construct models describing water temperature changes [18], e.g., Prats and Danis [81] published a model for calculating the epilimnion and hypolimnion temperature of inland waters on the basis of air temperature, as well as geographic and morphological features of these lakes.…”

mentioning

confidence: 99%

Baseline Water Temperature: Estimation of the Annual Cycle of Surface Water Temperature in Lakes in North-Central Poland over the 1951–1968 Period

Hutorowicz

2020

Water

View full text Add to dashboard Cite

Water temperature is an important ecological variable that affects the functioning of lakes. Unfortunately, for many lakes there are no long-term observations enabling the assessment of changes in water temperatures. This makes it difficult to include this aspect in research into the biology, ecology and chemistry of such lakes. This paper presents a literature review related to changes of surface water temperatures in lakes and in particular describing the response of water temperatures and stratification to changing climate in Polish lakes. On this basis, a model based on the available data on water temperature in 931 Polish lakes in the years 1951–1968 was proposed, which allows to estimate the baseline water temperature on any day of the year. This model is calculated using the complementary error peak function on the 0–3 m water temperature dataset, which provides the best reduction of diurnal temperature fluctuations. It can be an alternative to the average temperature of surface waters, which are calculated on the basis of systematically collected data. Based on the average water temperature data obtained from 56 thermal profiles in 10 lakes in 2010–2019, the equation was analogically calculated. The average monthly water temperatures in June, July, August and September and the change in water temperature (0.24–0.30 °C decade−1) in the period 1951–1968/2010–2019 were estimated then. Similar regional or single lake trends have been found in studies by other authors covering a similar or longer period of time. The proposed method, which is suitable for simulating temperatures, especially in summer, enables the determination of the value of changes in surface water temperature in Polish lakes when only thermal profiles data from different dates are available, which can be especially helpful when analyzing hydrobiological results.

show abstract

An epilimnion and hypolimnion temperature model based on air temperature and lake characteristics

Cited by 35 publications

References 108 publications

Responses of Lake Ice Phenology to Climate Change at Tibetan Plateau

Responses of Lake Ice Phenology to Climate Change at Tibetan Plateau

How Do Eutrophication and Temperature Interact to Shape the Community Structures of Phytoplankton and Fish in Lakes?

Baseline Water Temperature: Estimation of the Annual Cycle of Surface Water Temperature in Lakes in North-Central Poland over the 1951–1968 Period

Contact Info

Product

Resources

About