|
|
|
|
|
| Popp, Thomas; Hegglin, Michaela I.; Hollmann, Rainer; Ardhuin, Fabrice; Bartsch, Annett; Bastos, Ana; Bennett, Victoria; Boutin, Jacqueline; Brockmann, Carsten; Buchwitz, Michael; Chuvieco, Emilio; Ciais, Philippe; Dorigo, Wouter; Ghent, Darren; Jones, Richard; Lavergne, Thomas; Merchant, Christopher J.; Meyssignac, Benoit; Paul, Frederic; Quegan, Shaun; Sathyendranath, Shubha; Scanlon, Tracy; Schröder, Marc; Simis, Stefan G. H.; Willén, Ulrika. |
| Climate Data Records (CDRs) of Essential Climate Variables (ECVs) as defined by the Global Climate Observing System (GCOS) derived from satellite instruments help to characterize the main components of the Earth system, to identify the state and evolution of its processes, and to constrain the budgets of key cycles of water, carbon and energy. The Climate Change Initiative (CCI) of the European Space Agency (ESA) coordinates the derivation of CDRs for 21 GCOS ECVs. The combined use of multiple ECVs for Earth system science applications requires consistency between and across their respective CDRs. As a comprehensive definition for multi-ECV consistency is missing so far, this study proposes defining consistency on three levels: (1) consistency in format... |
| Tipo: Text |
|
| Ano: 2020 |
URL: https://archimer.ifremer.fr/doc/00635/74700/74639.pdf |
| |
|
|
| Holding, Thomas; Ashton, Ian; Shutler, Jamie D.; Land, Peter E.; Nightingale, Philip D.; Rees, Andrew P.; Brown, Ian; Piolle, Jean-francois; Kock, Annette; Bange, Hermann W.; Woolf, David K.; Goddijn-murphy, Lonneke; Pereira, Ryan; Paul, Frederic; Girard-ardhuin, Fanny; Chapron, Bertrand; Rehder, Gregor; Ardhuin, Fabrice; Donlon, Craig J.. |
| The flow (flux) of climate-critical gases, such as carbon dioxide (CO2), between the ocean and the atmosphere is a fundamental component of our climate and an important driver of the biogeochemical systems within the oceans. Therefore, the accurate calculation of these air–sea gas fluxes is critical if we are to monitor the oceans and assess the impact that these gases are having on Earth's climate and ecosystems. FluxEngine is an open-source software toolbox that allows users to easily perform calculations of air–sea gas fluxes from model, in situ, and Earth observation data. The original development and verification of the toolbox was described in a previous publication. The toolbox has now been considerably updated to allow for its use as a Python... |
| Tipo: Text |
|
| Ano: 2019 |
URL: https://archimer.ifremer.fr/doc/00598/70983/69247.pdf |
| |
|
|
| Bentamy, Abderrahim; Piolle, Jean-francois; Grouazel, Antoine; Danielson, R.; Gulev, S.; Paul, Frederic; Azelmat, Hamza; Mathieu, P. P.; Von Schuckmann, Karina; Sathyendranath, S.; Evers-king, H.; Esau, I.; Johannessen, J. A.; Clayson, C. A.; Pinker, R. T.; Grodsky, S. A.; Bourassa, M.; Smith, S. R.; Haines, K.; Valdivieso, M.; Merchant, C. J.; Chapron, Bertrand; Anderson, A.; Hollmann, R.; Josey, S. A.. |
| For over a decade, several research groups have been developing air-sea heat flux information over the global ocean, including latent (LHF) and sensible (SHF) heat fluxes over the global ocean. This paper aims to provide new insight into the quality and error characteristics of turbulent heat flux estimates at various spatial and temporal scales (from daily upwards). The study is performed within the European Space Agency (ESA) Ocean Heat Flux (OHF) project. One of the main objectives of the OHF project is to meet the recommendations and requirements expressed by various international programs such as the World Research Climate Program (WCRP) and Climate and Ocean Variability, Predictability, and Change (CLIVAR), recognizing the need for better... |
| Tipo: Text |
Palavras-chave: Ocean Heat Flux; Latent heat flux; Sensible heat flux; Ocean heat content; Scatterometer; Surface wind; Specfic air humidity; OceanSites; Remotely sensed data. |
| Ano: 2017 |
URL: http://archimer.ifremer.fr/doc/00403/51403/53729.pdf |
| |
|
|
| Shutler, Jamie D.; Land, Peter E.; Piolle, Jean-francois; Woolf, David K.; Goddijn-murphy, Lonneke; Paul, Frederic; Girard-ardhuin, Fanny; Chapron, Bertrand; Donlon, Craig J.. |
| The air-sea flux of greenhouse gases (e.g. carbon dioxide, CO2) is a critical part of the climate system and a major factor in the biogeochemical development of the oceans. More accurate and higher resolution calculations of these gas fluxes are required if we are to fully understand and predict our future climate. Satellite Earth observation is able to provide large spatial scale datasets that can be used to study gas fluxes. However, the large storage requirements needed to host such data can restrict its use by the scientific community. Fortunately, the development of cloud-computing can provide a solution. Here we describe an open source air-sea CO2 flux processing toolbox called the ‘FluxEngine’, designed for use on a cloud-computing infrastructure.... |
| Tipo: Text |
|
| Ano: 2016 |
URL: https://archimer.ifremer.fr/doc/00309/42034/41333.pdf |
| |
|
|
| Woolf, D.k.; Shutler, J.d.; Goddijn‐murphy, L.; Watson, A.j.; Chapron, Bertrand; Nightingale, P.d.; Donlon, C.j.; Piskozub, J.; Yelland, M.j.; Ashton, Ian; Holding, T.; Schuster, U.; Girard-ardhuin, Fanny; Grouazel, Antoine; Piolle, Jean-francois; Warren, M.; Wrobel‐niedzwiecka, I.; Land, P.e.; Torres, R.; Prytherch, J.; Moat, B.; Hanafin, J.; Ardhuin, Fabrice; Paul, Frederic. |
| The contemporary air‐sea flux of CO2 is investigated by the use of an air‐sea flux equation, with particular attention to the uncertainties in global values and their origin with respect to that equation. In particular, uncertainties deriving from the transfer velocity and from sparse upper ocean sampling are investigated. Eight formulations of air‐sea gas transfer velocity are used to evaluate the combined standard uncertainty resulting from several sources of error. Depending on expert opinion, a standard uncertainty in transfer velocity of either ~5% or ~10% can be argued and that will contribute a proportional error in air‐sea flux. The limited sampling of upper ocean fCO2 is readily apparent in the Surface Ocean CO2 Atlas (SOCAT) databases. The effect... |
| Tipo: Text |
Palavras-chave: Carbon dioxide; Air-sea flux; Uncertainty; Transfer velocity; Sampling. |
| Ano: 2019 |
URL: https://archimer.ifremer.fr/doc/00513/62450/66754.pdf |
| |
|
| |
|
|
|
