scholarly journals Effects of heatwaves on lake composition derived from satellite observations

2021 ◽  
Author(s):  
Marloes Penning de Vries ◽  
Suhyb Salama ◽  
Chris Mannaerts ◽  
Daphne van der Wal
Keyword(s):  
Climate Change ◽  
Water Quality ◽  
European Space Agency ◽  
Climate Change Impacts ◽  
Aquatic Organisms ◽  
Data Sets ◽  
Space Agency ◽  
Lake Temperature ◽  
Suitable Habitats ◽  
Projected Changes

<p>As a consequence of the ever-increasing global temperature, not only the air, and surface, but also lakes are warming up. This is expressed by steadily increasing base temperatures, but also in increases in the frequency and intensity of lake heatwaves. Land-based organisms may adapt to a changing climate by migrating to more suitable habitats, but this is usually not an option for lake-dwellers. Because many livelihoods depend on the ecosystem services of lakes, understanding the effects of heatwaves on lake composition form  an important input for the assessment of climate change impacts and design of adaptation strategies.</p><p>Using satellite data of lake temperature and water quality observations, we here investigate the effects of heatwaves on lake composition by studying the relationship between heatwaves and water quality variables of temperature, chlorophyll-a , colored dissolved organic matter, and suspended particulate matter . The latter can be used to infer effects of heat stress on health and populations of phyto- and zooplankton communities and higher aquatic organisms. Satellite-based data sets provided by the Climate Change Initiative of the European Space Agency,  CCI-Lakes (https://climate.esa.int/en/projects/lakes/) are  used in conjunction with the 2SeaColor model to determine depth-dependent attenuation coefficients and water quality variables.These data are complemented with and compared to data from Copernicus Global Land Services (https://land.copernicus.eu/global/products/). </p><p>The co-occurrence of heatwaves and changes in lake composition is investigated using statistical tools, and the causality is examined by comparison with biophysical models. The results from this study are discussed in light of previously published projected changes in heatwave frequency and intensity.</p>

Estimating Relative and Absolute Sea Level Rise at Ny-Ålesundwith satellite altimetry and in-situ observations

2021 ◽  
Author(s):  
Stefano Vignudelli ◽  
Francesco De Biasio
Keyword(s):  
Climate Change ◽  
Sea Level Rise ◽  
Sea Level ◽  
Satellite Altimetry ◽  
Adriatic Sea ◽  
Tide Gauge ◽  
European Space Agency ◽  
Data Sets ◽  
Space Agency ◽  
Along Track

<p>Consistent and long-term satellite-based data-sets to study climate-scale variations of sea level globally and in the coastal zone are available nowadays. Two altimetry data-sets were recently produced: the first one is generated by the European Space Agency’s (ESA) Sea Level Climate Change Initiative (SL_CCI) over a grid of 0.25 x 0.25 degrees, merging and homogenizing the various available satellite altimetry missions. The second one is a climate-oriented altimeter sea level product that started in the framework of the European Copernicus Climate Change Service (C3S), and is now released as daily-means over a grid of 0.25 x 0.25 degrees, covering the global ocean since 1993 to present. Both reach in the Arctic the latitude of 81.5 N degrees. Therefore, these new altimetry products cover the coastal area surrounding Ny-Ålesund (Svalbard Islands, Norway), where a tide gauge station is active since 1976. Near the Svalbard coasts also the along track surface elevations of the CryoSat-2 mission are made available through the European Space Agency’s Grid Processing on Demand (G-POD) for Earth Observation Applications facility.</p><p>In this study, we compare sea level measurements from the Ny-Ålesund tide gauge with the climate-oriented altimeter sea level gridded products (SL_CCI and C3S) and with the along track data from the only CryoSat-2 mission. This study has three objectives: 1) to assess the performances of the gridded data moving from offshore to near coasts; 2) to explore how the synergy with along track high resolution CryoSat-2 data might help to detail the sea ice impact on the observation of relative and absolute sea level rise around Svalbard; 3) to verify if the differences between satellite altimetry and tide gauges can be used as a proxy of vertical ground movement in the study area by adopting the approaches elaborated in Vignudelli et al. [2018] and De Biasio et al. [2020] that can be validated with ground vertical displacements estimated using Global Positioning System (GPS) data from the stations close to Ny-Ålesund.</p><p> </p><p>REFERENCES</p><p>Vignudelli, S., De Biasio, F., Scozzari, A. Zecchetto, S., and Papa, A. (2019): Sea Level Trends and Variability in the Adriatic Sea and Around Venice, Proceedings of the International Review Workshop on Satellite Altimetry Cal/Val Activities and Applications, 23-26 April 2018, Chania, Crete, Greece. DOI:10.1007/1345_2018_51</p><p>De Biasio, F.; Baldin, G.; Vignudelli, S. Revisiting Vertical Land Motion and Sea Level Trends in the Northeastern Adriatic Sea Using Satellite Altimetry and Tide Gauge Data. J. Mar. Sci. Eng. 2020, 8, 949. DOI:10.3390/jmse8110949</p>

scholarly journals Six years of total ozone column measurements from SCIAMACHY nadir observations

2009 ◽  
Vol 2 (1) ◽  
pp. 87-98 ◽  
Author(s):  
C. Lerot ◽  
M. Van Roozendael ◽  
J. van Geffen ◽  
J. van Gent ◽  
C. Fayt ◽  
...  
Keyword(s):  
Cross Sections ◽  
Total Ozone ◽  
Large Scale ◽  
European Space Agency ◽  
Data Sets ◽  
Data Set ◽  
Ozone Data ◽  
Space Agency ◽  
German Aerospace ◽  
The Impact

Abstract. Total O3 columns have been retrieved from six years of SCIAMACHY nadir UV radiance measurements using SDOAS, an adaptation of the GDOAS algorithm previously developed at BIRA-IASB for the GOME instrument. GDOAS and SDOAS have been implemented by the German Aerospace Center (DLR) in the version 4 of the GOME Data Processor (GDP) and in version 3 of the SCIAMACHY Ground Processor (SGP), respectively. The processors are being run at the DLR processing centre on behalf of the European Space Agency (ESA). We first focus on the description of the SDOAS algorithm with particular attention to the impact of uncertainties on the reference O3 absorption cross-sections. Second, the resulting SCIAMACHY total ozone data set is globally evaluated through large-scale comparisons with results from GOME and OMI as well as with ground-based correlative measurements. The various total ozone data sets are found to agree within 2% on average. However, a negative trend of 0.2–0.4%/year has been identified in the SCIAMACHY O3 columns; this probably originates from instrumental degradation effects that have not yet been fully characterized.

scholarly journals Climate change impacts and greenhouse gas mitigation effects on U.S. water quality

2015 ◽  
Vol 7 (3) ◽  
pp. 1326-1338 ◽  
Author(s):  
Brent Boehlert ◽  
Kenneth M. Strzepek ◽  
Steven C. Chapra ◽  
Charles Fant ◽  
Yohannes Gebretsadik ◽  
...  
Keyword(s):  
Climate Change ◽  
Water Quality ◽  
Greenhouse Gas ◽  
Climate Change Impacts ◽  
Greenhouse Gas Mitigation

scholarly journals Merged SAGE II, Ozone_cci and OMPS ozone profile dataset and evaluation of ozone trends in the stratosphere

2017 ◽  
Vol 17 (20) ◽  
pp. 12533-12552 ◽  
Author(s):  
Viktoria F. Sofieva ◽  
Erkki Kyrölä ◽  
Marko Laine ◽  
Johanna Tamminen ◽  
Doug Degenstein ◽  
...  
Keyword(s):  
Climate Change ◽  
Stratospheric Ozone ◽  
European Space Agency ◽  
Space Agency ◽  
Ozone Profile ◽  
Ozone Trends ◽  
Stratospheric Cooling ◽  
The Individual ◽  
Good Agreement

Abstract. In this paper, we present a merged dataset of ozone profiles from several satellite instruments: SAGE II on ERBS, GOMOS, SCIAMACHY and MIPAS on Envisat, OSIRIS on Odin, ACE-FTS on SCISAT, and OMPS on Suomi-NPP. The merged dataset is created in the framework of the European Space Agency Climate Change Initiative (Ozone_cci) with the aim of analyzing stratospheric ozone trends. For the merged dataset, we used the latest versions of the original ozone datasets. The datasets from the individual instruments have been extensively validated and intercompared; only those datasets which are in good agreement, and do not exhibit significant drifts with respect to collocated ground-based observations and with respect to each other, are used for merging. The long-term SAGE–CCI–OMPS dataset is created by computation and merging of deseasonalized anomalies from individual instruments. The merged SAGE–CCI–OMPS dataset consists of deseasonalized anomalies of ozone in 10° latitude bands from 90° S to 90° N and from 10 to 50 km in steps of 1 km covering the period from October 1984 to July 2016. This newly created dataset is used for evaluating ozone trends in the stratosphere through multiple linear regression. Negative ozone trends in the upper stratosphere are observed before 1997 and positive trends are found after 1997. The upper stratospheric trends are statistically significant at midlatitudes and indicate ozone recovery, as expected from the decrease of stratospheric halogens that started in the middle of the 1990s and stratospheric cooling.

scholarly journals Merged SAGE II, Ozone_cci and OMPS ozone profiles dataset and evaluation of ozone trends in the stratosphere

2017 ◽  
Author(s):  
Viktoria F. Sofieva ◽  
Erkki Kyrölä ◽  
Marko Laine ◽  
Johanna Tamminen ◽  
Doug Degenstein ◽  
...  
Keyword(s):  
Climate Change ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Stratospheric Ozone ◽  
European Space Agency ◽  
Space Agency ◽  
Ozone Trends ◽  
The Individual ◽  
Good Agreement

Abstract. In this paper, we present a merged dataset of ozone profiles from several satellite instruments: SAGE II on ERBS, GOMOS, SCIAMACHY and MIPAS on Envisat, OSIRIS on Odin, ACE-FTS on SCISAT, and OMPS on Suomi-NPP. The merged dataset is created in the framework of European Space Agency Climate Change Initiative (Ozone_cci) with the aim of analyzing stratospheric ozone trends. For the merged dataset, we used the latest versions of the original ozone datasets. The datasets from the individual instruments have been extensively validated and inter-compared; only those datasets, which are in good agreement and do not exhibit significant drifts with respect to collocated ground-based observations and with respect to each other, are used for merging. The long-term SAGE-CCI-OMPS dataset is created by computation and merging of deseasonalized anomalies from individual instruments. The merged SAGE-CCI-OMPS dataset consists of deseasonalized anomalies of ozone in 10° latitude bands from 90° S to 90° N and from 10 to 50 km in steps of 1 km covering the period from October 1984 to July 2016. This newly created dataset is used for evaluating ozone trends in the stratosphere through multiple linear regression. Negative ozone trends in the upper stratosphere are observed before 1997 and positive trends are found after 1997. The upper stratospheric trends are statistically significant at mid-latitudes in the upper stratosphere and indicate ozone recovery, as expected from the decrease of stratospheric halogens that started in the middle of the 1990s.

scholarly journals Climate change projections over Indus basin using CMIP6 model simulations

2021 ◽  
Author(s):  
KOTESWARARAO KUNDETI ◽  
Lakshmi Kumar T.V ◽  
Ashwini Kulkarni ◽  
Chowdary J.S ◽  
Srinivas Desamsetti
Keyword(s):  
Climate Change ◽  
21St Century ◽  
Minimum Temperature ◽  
Coupled Model ◽  
Baseline Period ◽  
Indus Basin ◽  
Climate Indices ◽  
Data Sets ◽  
Projected Changes ◽  
Precipitation And Temperature

Abstract Indus basin is one of the most vulnerable regions due to climate change. This article presents the projected changes in precipitation and temperature over the Indus Basin using statistically downscaled, bias-corrected Coupled Model Intercomparison Project-6 (CMIP6) data sets for different shared socioeconomic pathways (SSP2-4.5 and SSP5-8.5) in response to global warming. The future changes in precipitation and temperature extremes for different epochal periods of the 21st century are outlined. The spatial variations of precipitation, maximum and minimum temperature obtained from the Multi-Model Mean (MMM) of CMIP6 models showed a good agreement with observations such as APHRODITE (precipitation), CPC (temperature) for the base period 1995 to 2014 over the Indus Basin. Our results suggest that there is a general increase in precipitation/ maximum and minimum temperature over the Upper Indus Basin/Lower Indus Basin by the end of the 21st century. It is also noted that the spatial variability of extreme climate indices is high during June to September (JJAS) than December to January (DJF). By the end of the century projections show that the precipitation changes are about 85% in JJAS and 40% in DJF with reference to the baseline (1995–2014) period over Indus Basin region. The temperature extreme indices are also increasing in future compare to the baseline period.

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