PALeo constraints on SEA level rise (PALSEA): Ice-sheet and sea-level responses to past climate warming

Carlson, Anders E.; Dutton, Andrea; Long, Antony J.; Milne, Glenn A.

doi:10.1016/j.quascirev.2019.03.032

Cited by 7 publications

(6 citation statements)

References 61 publications

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“…Available SLIPs are sparse in the distant past and become more numerous as the recent time is approached. But the situation improves due to various groups working on constraining palaeo sea level rise under PAGES like the HOLocene relative SEA level (HOLSEA; Khan et al, 2019) and PALeo constraints on SEA level rise (PALSEA; Carlson et al, 2019) working groups.…”

Section: Discussionmentioning

confidence: 99%

“…The focus of GIA-related sea level research lies on reconstructions of the deglaciation since the last glacial maximum (e.g. Van de Plassche, 1986;Düsterhus et al, 2016;Carlson et al, 2019), which constrains the main range of available sea level data to be younger than 20 ka. While we considered a spatial distribution based on available data sets (see Unger et al, 2012), we assumed to have observations every 1 kyr for the whole assimilation period.…”

Section: Temporal Observation Distributionmentioning

confidence: 99%

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An approach for constraining mantle viscosities through assimilation of palaeo sea level data into a glacial isostatic adjustment model

Schachtschneider

Saynisch

Klemann

et al. 2022

Nonlin. Processes Geophys.

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Abstract. Glacial isostatic adjustment is largely governed by the rheological properties of the Earth's mantle. Large mass redistributions in the ocean–cryosphere system and the subsequent response of the viscoelastic Earth have led to dramatic sea level changes in the past. This process is ongoing, and in order to understand and predict current and future sea level changes, the knowledge of mantle properties such as viscosity is essential. In this study, we present a method to obtain estimates of mantle viscosities by the assimilation of relative sea level rates of change into a viscoelastic model of the lithosphere and mantle. We set up a particle filter with probabilistic resampling. In an identical twin experiment, we show that mantle viscosities can be recovered in a glacial isostatic adjustment model of a simple three-layer Earth structure consisting of an elastic lithosphere and two mantle layers of different viscosity. We investigate the ensemble behaviour on different parameters in the following three set-ups: (1) global observations data set since last glacial maximum with different ensemble initialisations and observation uncertainties, (2) regional observations from Fennoscandia or Laurentide/Greenland only, and (3) limiting the observation period to 10 ka until the present. We show that the recovery is successful in all cases if the target parameter values are properly sampled by the initial ensemble probability distribution. This even includes cases in which the target viscosity values are located far in the tail of the initial ensemble probability distribution. Experiments show that the method is successful if enough near-field observations are available. This makes it work best for a period after substantial deglaciation until the present when the number of sea level indicators is relatively high.

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Section: Discussionmentioning

confidence: 99%

Section: Temporal Observation Distributionmentioning

confidence: 99%

An approach for constraining mantle viscosities through assimilation of palaeo sea level data into a glacial isostatic adjustment model

Schachtschneider

Saynisch

Klemann

et al. 2022

Nonlin. Processes Geophys.

View full text Add to dashboard Cite

show abstract

“…The focus of GIA related sea level research lies on reconstructions of the deglaciation since the last glacial maximum (e.g., van de Plassche, 1986;Düsterhus et al, 2016;Carlson et al, 2019), which constrains the main range of available sea level data to be younger than 20 ka BP. While we considered a spatial distribution based on available data sets (cf.…”

Section: Discussionmentioning

confidence: 99%

“…Available SLIPs are sparse in the distant past and become more numerous as recent time is approached. But the situation improves due to various groups working on constraining paleo sea level rise under PAGES like HOLSEA and PALSEA (Carlson et al, 2019).…”

Section: Discussionmentioning

confidence: 99%

An approach for constraining mantle viscosities through assimilation of paleo sea level data into a glacial isostatic adjustment model

Schachtschneider

Saynisch

Klemann

et al. 2021

Preprint

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Abstract. Glacial isostatic adjustment is largely governed by rheological properties of the Earth's mantle. Large mass redistributions in the ocean-cryosphere system and the subsequent response of the visco-elastic Earth have led to dramatic sea level changes in the past. This process is ongoing and in order to understand and predict current and future sea level changes the knowledge of mantle properties such as viscosity is essential. In this study we present a method to obtain estimates of mantle viscosities by assimilation of relative sea level data into a visco-elastic model of the lithosphere and mantle. We set up a particle filter with probabilistic resampling. In an identical twin experiment we show that mantle viscosities can be recovered in a glacial isostatic adjustment model of a simple three layer earth structure consisting of an elastic lithosphere and two mantle layers of different viscosity. In two scenarios we investigate the dependence of the ensemblebehavior on the ensemble initialization and observation uncertainties and show that the recovery is successful if the target parameter values are properly sampled by the initial ensemble probability distribution. This even includes cases in which the target viscosity values are located far in the tail of the initial ensemble probability distribution. We then successfully apply the method to two special cases that are relevant for the assimilation of real observations: 1) using observations taken from a single region only, here Laurentide and Fennoscandia, respectively, and 2) using only observations from the last 10 kyrs.

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“…Higher global temperatures lead to greater retaliation from nature. When the global warming has increased by 1.5 • C [4][5][6], the climate disasters will have a greater impact on human life and property; when it increases by 1.5-2 • C [7][8][9], the world will be swept with foreseeable (e.g., stored-grain pest outbreaks [10], rising sea levels [11,12], droughts [13], and disturbance of forest ecosystems [14,15]) and unforeseeable climate disasters. The price of economic prosperity and rapid technological advancements, high CO 2 emission, is a crucial environment governance issue that the world must confront [16].…”

Section: Introductionmentioning

confidence: 99%

Using AI-MCDM Model to Boost Sustainable Energy System Development: A Case Study on Solar Energy and Rainwater Collection in Guangdong Province

et al. 2021

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Rural areas in southern China receive ample rainfall annually as well as over 1600 h of annual sunshine. Despite a generally severe urban–rural development imbalance, these rural areas feature well-developed basic infrastructure and diverse economic activities. Rural revitalization policies in these areas have emphasized the development of cultural and ecological tourism, which has spurred economic development and given rise to a trend of villa construction. Residential buildings sit on large areas where natural resources are abundant. These advantages are conducive to the development and use of sustainable resources. This study proposes an incentive policy encouraging rural residents to renovate their buildings to include rainwater conservation and solar power generation. The Delphi method, an analytic hierarchy process, and fuzzy logic theory were combined to establish an AI-MCDM model, with applications of artificial intelligence and multiple-criteria decision making. Using Conghua District, Guangdong Province as an example, the study suggested that the model is beneficial to increasing the willingness of rural residents to reconstruct and renovate their residences, promoting the development of a low-carbon ecological region, Wenquan Township. We conducted the Delphi process twice to assess and validate incentives for installing natural resource conservation structures in agricultural areas. Nine criteria were identified, which can be divided into three main dimensions of participation situation, generating capacity, and storage facilities. The proposed AI-MCDM model developed using the Delphi–Fuzzy Analytic Hierarchy Process Model has high objectivity and can support rural areas in developing low-carbon, sustainable characteristics. The findings can serve as a reference for governments formulating incentives to encourage the installation of rainwater conservation and solar energy generation structures by rural households.

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PALeo constraints on SEA level rise (PALSEA): Ice-sheet and sea-level responses to past climate warming

Abstract: A. (2019) 'PALeo constraints on SEA level rise (PALSEA) : ice-sheet and sea-level responses to past climate warming.', Quaternary science reviews., 212. pp. 28-32.

Cited by 7 publications

References 61 publications

An approach for constraining mantle viscosities through assimilation of palaeo sea level data into a glacial isostatic adjustment model

An approach for constraining mantle viscosities through assimilation of palaeo sea level data into a glacial isostatic adjustment model

An approach for constraining mantle viscosities through assimilation of paleo sea level data into a glacial isostatic adjustment model

Using AI-MCDM Model to Boost Sustainable Energy System Development: A Case Study on Solar Energy and Rainwater Collection in Guangdong Province

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