Warming trends of perialpine lakes from homogenised time series of historical satellite and in-situ data

Pareeth, Sajid; Bresciani, Mariano; Buzzi, Fabio; Leoni, Barbara; Lepori, Fabio; Ludovisi, Alessandro; Morabito, Giuseppe; Adrian, Rita; Neteler, Markus; Salmaso, Nico

doi:10.1016/j.scitotenv.2016.10.199

Cited by 49 publications

(29 citation statements)

References 41 publications

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“…On a global scale, an increasing trend in the lacustrine water temperature has been widely reported, with a mean rise of 0.34 • C/decade in the summer surface water temperature [75][76][77]. In particular, studies on Lake Iseo highlighted an average annual increase of 0.19 • C/decade, with a temperature rise of 0.56 • C in the 30 years from 1986 to 2015 [77].…”

Section: Discussionmentioning

confidence: 99%

Interspecific Relationship and Ecological Requirements of Two Potentially Harmful Cyanobacteria in a Deep South-Alpine Lake (L. Iseo, I)

Nava

Patelli

Soler

et al. 2017

Water

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Abstract:In Lake Iseo (Lombardia, Italy), the predominant species in the cyanobacterial taxa was Planktothrix rubescens. However, since 2014, the presence of an allochthonous Cyanobacteria, Tychonema bourrellyi, able to produce consistent biomasses and harmful toxins, was detected. The causes of this expansion are poorly understood. Many studies have linked the development of allochthonous Cyanobacteria populations with climate change. This study shows the spatio-temporal dynamics, the ecological requirements, and the interspecific relationship of P. rubescens and T. bourrellyi. Samples were collected monthly in 2016 at six different depths in the water column; 20 chemico-physical characteristics were measured; and Cyanobacteria density, morphology, and biovolume were evaluated. The results allowed a comparison of the spatial pattern of the two species, which showed a greater distribution at a depth of 10-20 m, and their seasonal dynamics. Both Cyanobacteria were present throughout the year, with the greatest abundance during the period from March to May. A temporal shift was observed in their development, linked to different capacities for overcoming winter and mixing periods. Principal Component Analysis, performed on 20 observations (4 months × 5 depths), highlighted the important role of the stability of the water column in determining T. bourrellyi settlement in Lake Iseo and the role of solar radiation in spring population development.

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Section: Discussionmentioning

confidence: 99%

Interspecific Relationship and Ecological Requirements of Two Potentially Harmful Cyanobacteria in a Deep South-Alpine Lake (L. Iseo, I)

Nava

Patelli

Soler

et al. 2017

Water

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“…Water temperature is not only an important ecological parameter in lacustrine eco-systems [2], it can also serve as a proxy for detection of local climate change [3]. Studies have revealed global warming trends for LSWT within different climate zones (e.g., [4,5]), and there is evidence that indications of climate change are sometimes even stronger within lake than in air temperature records (e.g., [6,7]). To further explore these trends on a continental or even a global scale, there is a need to generate accurate and homogeneous LSWT time series from different climatic regions.…”

Section: Accuracy Of Satellite-based Acquisition Of Lake Water Tempermentioning

confidence: 99%

Performance Assessment of Tailored Split-Window Coefficients for the Retrieval of Lake Surface Water Temperature from AVHRR Satellite Data

2017

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Abstract:Although lake surface water temperature (LSWT) is defined as an essential climate variable (ECV) within the global climate observing system (GCOS), current satellite-based retrieval techniques do not fulfill the GCOS accuracy requirements. The split-window (SW) retrieval method is well-established, and the split-window coefficients (SWC) are the key elements of its accuracy. Performances of SW depends on the degree of SWC customization with respect to its application, where accuracy increases when SWC is tailored for specific situations. In the literature, different SWC customization approaches have been investigated, however, no direct comparisons have been conducted among them. This paper presents the results of a sensitivity analysis to address this gap. We show that the performance of SWC is most sensitive to customizations for specific time-windows (Sensitivity Index SI of 0.85) or spatial extents (SI 0.27). Surprisingly, the study highlights that the use of separated SWC for daytime and night-time situations has limited impact (SI 0.10). The final validation with AVHRR satellite data showed that the subtle differences among different SWC customizations were not traceable to the final uncertainty of the LSWT product. Nevertheless, this study provides a basis to critically evaluate current assumptions regarding SWC generation by directly comparing the performance of multiple customization approaches for the first time.

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“…Remote sensing based time series are becoming increasingly available, and this tendency will continue to grow not only because of new Earth observation satellites being launched, but because of the availability of new methods to harmonize their data [1,2] and reconstruct incomplete records [3][4][5][6][7] along with the growing demand of different sectors for the monitoring of environment, analysis of trends and patterns, and forecasting. In this scenario, air temperature is as an essential climatic and ecological driver, one of the most important variables in climate research and global change.…”

Section: Introductionmentioning

confidence: 99%

“…There have been two approaches aiming at two different outputs: (1) to use MODIS LST as one of the explanatory variables in statistical models to obtain gridded time series of air temperature [9,15,16,21,22]; and (2) to directly reconstruct LST products either with or without covariates [2,5,19,23,24]. In the first case, approaches go from linear regression models to more complex spatio-temporal regression-kriging interpolations, from regional (country scale) to global predictions and from only one to 10 years of output air temperature time series.…”

Section: Introductionmentioning

confidence: 99%

A New Fully Gap-Free Time Series of Land Surface Temperature from MODIS LST Data

2017

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Temperature time series with high spatial and temporal resolutions are important for several applications. The new MODIS Land Surface Temperature (LST) collection 6 provides numerous improvements compared to collection 5. However, being remotely sensed data in the thermal range, LST shows gaps in cloud-covered areas. We present a novel method to fully reconstruct MODIS daily LST products for central Europe at 1 km resolution and globally, at 3 arc-min. We combined temporal and spatial interpolation, using emissivity and elevation as covariates for the spatial interpolation. The reconstructed MODIS LST for central Europe was calibrated to air temperature data through linear models that yielded R 2 values around 0.8 and RMSE of 0.5 K. This new method proves to scale well for both local and global reconstruction. We show examples for the identification of extreme events to demonstrate the ability of these new LST products to capture and represent spatial and temporal details. A time series of global monthly average, minimum and maximum LST data and long-term averages is freely available for download.

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Warming trends of perialpine lakes from homogenised time series of historical satellite and in-situ data

Cited by 49 publications

References 41 publications

Interspecific Relationship and Ecological Requirements of Two Potentially Harmful Cyanobacteria in a Deep South-Alpine Lake (L. Iseo, I)

Interspecific Relationship and Ecological Requirements of Two Potentially Harmful Cyanobacteria in a Deep South-Alpine Lake (L. Iseo, I)

Performance Assessment of Tailored Split-Window Coefficients for the Retrieval of Lake Surface Water Temperature from AVHRR Satellite Data

A New Fully Gap-Free Time Series of Land Surface Temperature from MODIS LST Data

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