Deriving long‐term time series of sea ice cover from satellite passive‐microwave multisensor data sets

Cavalieri, Donald J.; Parkinson, Claire L.; Gloersen, P.; Comiso, Josefino C.; Zwally, H. Jay

doi:10.1029/1999jc900081

Cited by 402 publications

(396 citation statements)

References 15 publications

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“…This means that in the coastal zone, if there is open water or intermediate concentrations, the sea ice concentration will be overestimated. The statistical method which is described by Cavalieri et al (1999) is used for filtering the ice concentration near the coast.…”

Section: Statistical Filtering Of Ice Concentration Near the Coastlinementioning

confidence: 99%

The EUMETSAT sea ice concentration climate data record

et al. 2016

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Abstract. An Arctic and Antarctic sea ice area and extent dataset has been generated by EUMETSAT's Ocean and Sea Ice Satellite Application Facility (OSISAF) using the record of microwave radiometer data from NASA's Nimbus 7 Scanning Multichannel Microwave radiometer (SMMR) and the Defense Meteorological Satellite Program (DMSP) Special Sensor Microwave/Imager (SSM/I) and Special Sensor Microwave Imager and Sounder (SSMIS) satellite sensors. The dataset covers the period from October 1978 to April 2015 and updates and further developments are planned for the next phase of the project. The methodology for computing the sea ice concentration uses (1) numerical weather prediction (NWP) data input to a radiative transfer model for reduction of the impact of weather conditions on the measured brightness temperatures; (2) dynamical algorithm tie points to mitigate trends in residual atmospheric, sea ice, and water emission characteristics and inter-sensor differences/biases; and (3) a hybrid sea ice concentration algorithm using the Bristol algorithm over ice and the Bootstrap algorithm in frequency mode over open water. A new sea ice concentration uncertainty algorithm has been developed to estimate the spatial and temporal variability in sea ice concentration retrieval accuracy. A comparison to US National Ice Center sea ice charts from the Arctic and the Antarctic shows that ice concentrations are higher in the ice charts than estimated from the radiometer data at intermediate sea ice concentrations between open water and 100 % ice. The sea ice concentration climate data record is available for download at www.osi-saf.org, including documentation.

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Section: Statistical Filtering Of Ice Concentration Near the Coastlinementioning

confidence: 99%

The EUMETSAT sea ice concentration climate data record

et al. 2016

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“…We used two indices of of sea ice extent anomalies, based on the methods of Cavalieri et al (1999), as an index of physical conditions that are likely to affect ice-obligate Adélie penguins. The first provides a index of ice conditions in the WAP region, as described by Hewitt (1997), where sea ice extent and duration have decreased markedly in recent years (Stammerjohn et al 2008a).…”

Section: Environmental Correlates Of Survival and Recapture Probabilitymentioning

confidence: 99%

Adélie penguin (Pygoscelis adeliae) survival rates and their relationship to environmental indices in the South Shetland Islands, Antarctica

Hinke

Trivelpiece

2014

Polar Biol

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Seabird life history is typified by low fecundity, high adult survival rates, and relatively long lives. Such traits act as buffers, enabling persistence of populations under variable environmental conditions. Numerous studies, however, have suggested strong sensitivity of seabirds to environmental variability. In the Antarctic Peninsula region, for example, Adélie penguin (Pygoscelis adeliae) populations have declined during the last three decades, attributed largely to rapid changes in environmental conditions and food availability. We use 30 years of markrecapture data from known-age individuals in the South Shetland Islands and capture-mark-recapture models to estimate survival rates with respect to such environmental variation. We investigated specifically whether negative trends in survival rates were evident and whether indices of global, regional, and local environmental conditions considered important for Adélie penguin survival explained the variability in survival rates. Overall, negative trends in juvenile survival were evident, but adult survival rates exhibited high interannual variability. Indices of sea ice extent had the strongest correlations with survival rates, particularly Weddell Sea ice extent during spring among adults (r = 0.62) and during winter for juveniles (r = 0.46). An analysis of deviance, however, suggested that single environmental covariates explained \30 % of the observed variation in the full mark-recapture models. Despite positive effects of sea ice extent on survival rates of Adélie penguins, limited explanatory power of several environmental conditions previously identified as important for Adélie penguin survival underscores the difficulty of predicting future population responses in this region of rapid environmental change.

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“…Corrections proposed by Cavalieri et al (1999) are applied to SMMR data to mediate the discontinuity in SIC observations between SMMR and SSM/I data, and to data from both satellites to remove measurement errors. Corrections are not applied for summer SIC measurement errors (such as noise) and 1900 1910 1920 1930 1940 1950 1960 1970 1980 1990 Time series of the annual number (unit 10 6 ) of all reports (thick solid), SLP (dash), total cloud cover (dotted), wind (long and short-dashes), SST (thin solid), AT (dash-dotted), and DPT (dash-two-dotted) available for the objective analyses negative biases attributable to surface conditions (such as meltwater ponding and the submersion of the ice interface).…”

Section: Sea Icementioning

confidence: 99%

Objective analyses of sea‐surface temperature and marine meteorological variables for the 20th century using ICOADS and the Kobe Collection

Ishii¹,

Shouji²,

Sugimoto³

et al. 2005

Intl Journal of Climatology

591

380

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Data for the 20th century from the International Comprehensive Ocean and Atmosphere Data Set and the Kobe Collection have been used as input data for global objective analyses of sea-surface temperatures (SSTs) and other marine meteorological variables. This study seeks a better understanding of the historical marine meteorological data and an evaluation of the quality of the data in the Kobe Collection. Objective analyses yield gridded data that are less noisy than observed data, which facilitates handling of historical data. The observed data determine the quality of the objective analyses, and quality control specified for historical data is incorporated into the objective analysis to reduce artificial errors. The objective analyses are based on optimum interpolation and reconstruction with empirical orthogonal functions. The final database produced in this study not only contains analysed values, but also analysis errors and data distributions at each time step of the objective analyses.The analysis database contains ample information on historical observations, as well as signals of marine climate variations during the century. Time series of global mean marine temperatures and cloud cover include trends linked to global warming, and local peaks appear commonly in all the time series around the 1940s. Sea-level pressure and seasurface wind fields show significant linear trends at high latitudes and over the North Pacific Ocean respectively. These trends seem to be artificial. An SST analysis used widely in climatological studies was verified against HadISST from the Hadley Centre and an SST analysis derived from satellite and in situ observations. El Niño and southern oscillation indices for the century are successfully reproduced, even though observations in the tropics are much rarer before 1950 than after 1950.

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Deriving long‐term time series of sea ice cover from satellite passive‐microwave multisensor data sets

Cited by 402 publications

References 15 publications

The EUMETSAT sea ice concentration climate data record

The EUMETSAT sea ice concentration climate data record

Adélie penguin (Pygoscelis adeliae) survival rates and their relationship to environmental indices in the South Shetland Islands, Antarctica

Objective analyses of sea‐surface temperature and marine meteorological variables for the 20th century using ICOADS and the Kobe Collection

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