Results 71 to 80 of about 1,428 (252)

A machine learning model-based satellite data record of dissolved organic carbon concentration in surface waters of the global open ocean

Frontiers in Marine Science
Dissolved Organic Carbon (DOC) is the largest organic carbon pool in the ocean. Considering the biotic and abiotic factors controlling DOC processes, indirect satellite methods for open ocean DOC estimation can be developed, using conceptual, empirical ...
Marko Laine, Gemma Kulk, Gemma Kulk, Bror F. Jönsson, Shubha Sathyendranath, Shubha Sathyendranath   +5 more
doaj   +1 more source

Speciation with gene flow

PLANTS, PEOPLE, PLANET, EarlyView.
Biodiversity is threatened by human activities, with extinction debt accumulating rapidly. Many of these activities change the connectivity of populations, fragmenting existing population systems or bringing previously isolated populations or species into contact.
Zhiqin Long, Xu Zhang, Yue Yu, Gregory L. Owens, Diana J. Rennison, Clarisse Palma‐Silva, Daniel Ortiz‐Barrientos, Loren H. Rieseberg   +7 more
wiley   +1 more source

The European honey buzzard (Pernis apivorus) as an ally for the control of the invasive yellow‐legged hornet (Vespa velutina nigrithorax)

Pest Management Science, Volume 81, Issue 4, Page 2237-2247, April 2025.
The predatory effect of the honey‐buzzard affects the reproductive performance of Asian‐hornet colonies, decreasing the density of workers over distance and time. The foraging distances of the honey‐buzzard concentrates within the first 2000 m from nest, which supports the results observed.
Jorge Ángel Martín‐Ávila, Luisa María Díaz‐Aranda, José Manuel Fernández‐Pereira, Salvador Rebollo   +3 more
wiley   +1 more source

Charybdis : The next generation in ocean colour and biogeochemical remote sensing [PDF]

, 2012
Within the field of Space-based Maritime observation, there exists an opportunity in the form of high spatial, high temporal resolution multi-spectral imaging to map coastal and inland waterway colour and biogeochemistry. Information provided would help environmental agencies and the scientific community to better understand patterns and evolution of ...
Lowe, Christopher John, Macdonald, Malcolm, Greenland, Stephen, McKee, David   +3 more
openaire   +1 more source

Stratospheric and tropospheric seasonality and its implications for observation requirements in numerical weather prediction

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Daily time series of zonal‐mean zonal wind (m·s−1) at 10 hPa and 60° N from 1950 to 2021 from the ERA5 reanalysis. This shows huge variability in some seasons and very little in others. We provide evidence that high‐level observations, radiosonde and satellite, are more important during the extended winter season with its very large variability ...
Bruce Ingleby, Inna Polichtchouk
wiley   +1 more source

An opportunity index to anticipate when subseasonal predictions are useful

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Simultaneously active subseasonal windows of forecast opportunity can be combined into a single opportunity index, which can be used operationally to anticipate enhanced or reduced subseasonal prediction skill. For predictions of temperature anomalies in Switzerland during summer—a region and season with particularly low predictability—skill can nearly
Dominik Büeler, Maria Pyrina, Adel Imamovic, Christoph Spirig, Daniela I. V. Domeisen   +4 more
wiley   +1 more source

Global Retrieval of Diatom Abundance Based on Phytoplankton Pigments and Satellite Data

Remote Sensing, 2014
Diatoms are the major marine primary producers on the global scale and, recently, several methods have been developed to retrieve their abundance or dominance from satellite remote sensing data.
Mariana A. Soppa, Takafumi Hirata, Brenner Silva, Tilman Dinter, Ilka Peeken, Sonja Wiegmann, Astrid Bracher   +6 more
doaj   +1 more source

Hybrid physics–data‐driven modeling for sea ice thermodynamics and transfer learning

Quarterly Journal of the Royal Meteorological Society, EarlyView.
Icepack–NN, a machine‐learning‐based hybrid version of the sea‐ice column model Icepack, is developed to correct state‐dependent forecast errors arising from misspecified snow thermodynamics, using neural networks applied online within the physical model.
G. De Cillis, A. Carrassi, J. Brajard, L. Bertino, M. Broccoli, D. Iovino, T.S. Finn, M. Bocquet   +7 more
wiley   +1 more source

Assessing chlorophyll-a retrieval of Sentinel-3 OLCI, VIIRS, MODIS and OC-CCI in Monterey Bay (California, USA)

Ocean and Coastal Research
Advances in high-resolution satellite sensors and merged multi-sensor ocean colour products have improved the detection of submesoscale features and enhanced the continuity of ocean surface measurements.
Elliot Styles, Lael Wakamatsu, Andrew M. Fischer   +2 more
doaj   +1 more source

Physical forcing and phytoplankton distributions

Scientia Marina, 2005
At the global and regional scales, the distribution and abundance of marine phytoplankton are under the control of physical forcing. Moreover, the community structure and the size structure of phytoplankton assemblages also appear to be under physical ...
Trevor Platt, Heather Bouman, Emmanuel Devred, César Fuentes-Yaco, Shubha Sathyendranath   +4 more
doaj   +1 more source