Northern Hemisphere high latitude climate and environmental change
Notice bibliographique
Résumé
High Northern Hemisphere latitudes are undergoing rapid and significant change associated with climate warming. Climatic change in this region interacts with and affects the rate of the global change through atmospheric circulation, biogeophysical, and biogeochemical feedbacks. Changes in the surface energy balance, hydrologic cycle, and carbon budget feedback to regional and global weather and climate systems. Two-thirds of the Northern Hemisphere high latitude land mass resides in Northern Eurasia (∼20% of the global land mass), and this region has undergone sweeping socio-economic change throughout the 20th century. How this carbon-rich, cold region component of the Earth system functions as a regional entity and interacts with and feeds back to the greater global system is to a large extent unknown. To mitigate the deficiencies in understanding these feedbacks, which may in turn hamper our understanding of the global change rates and patterns, an initiative was formed. Three years ago the Northern Eurasia Earth Science Partnership Initiative (NEESPI) was established to address large-scale and long-term manifestations of climate and environmental change in this region. The NEESPI Science Plan and its Executive Summary have been published at the NEESPI web site ( neespi.org ). Since 2004, NEESPI participants have been able to seed several waves of research proposals to international and national funding agencies and institutions and also contribute to the International Polar Year. Currently, NEESPI is widely recognized and endorsed by several Earth System Science Partnership (ESSP) programmes and projects: the International Geosphere and Biosphere Programme, the World Climate Research Programme through the Global Energy and Water Cycle Experiment and Climate and Cryosphere Projects, the Global Water System Project, Global Carbon Project, Global Land Project, and the Integrated Land Ecosystem—Atmosphere Processes Study. Through NEESPI, more than 100 individually funded projects (always with international participation) in the United States, Russian Federation, China, European Union, Japan, and Canada have been mutually united to explore the scientifically significant Northern Eurasian region. NEESPI scientists have been quite productive during the past two years (2005–2006) publishing more than 200 books, book chapters, and papers in refereed journals. NEESPI sessions at international conferences are open to everyone who works on environmental and climate change problems in Northern Eurasia and the circumpolar boreal zone. This thematic issue brings together articles from the authors who presented their latest results at the Annual Fall American Geophysical Union Meeting in San Francisco (December 2006). The research letters in this issue are preceded by two editorial papers (Leptoukh et al and Sherstyukov et al ) devoted to informational support of research in the NEESPI domain that is critical to the success of the Initiative. The following papers are quite diverse and are assembled into five groups devoted to studies of climate and hydrology, land cover and land use, the biogeochemical cycle and its feedbacks, the cryosphere, and human dimensions in the NEESPI domain and the circumpolar boreal zone. Focus on Northern Hemisphere High Latitude Climate and Environmental Change Contents Editorials NASA NEESPI Data and Services Center for Satellite Remote Sensing Information Gregory Leptoukh, Ivan Csiszar, Peter Romanov, Suhung Shen, Tatiana Loboda and Irina Gerasimov NEESPI Science and Data Support Center for Hydrometeorological Information in Obninsk, Russia B G Sherstyukov, V N Razuvaev, O N Bulygina and P Ya Groisman Climate and hydrology Changes in the fabric of the Arctic's greenhouse blanket Jennifer A Francis and Elias Hunter Spatial variations of summer precipitation trends in South Korea, 1973–2005 Heejun Chang and Won-Tae Kwon Climate variations and changes in extreme climate events in Russia O N Bulygina, V N Razuvaev, N N Korshunova and P Ya Groisman Land cover and land use Responses of the circumpolar boreal forest to 20th century climate variability Andrea H Lloyd and Andrew G Bunn Mapping Russian forest biomass with data from satellites and forest inventories R A Houghton, D Butman, A G Bunn, O N Krankina, P Schlesinger and T A Stone The biogeochemical cycle and its feedbacks Sphagnum peatland development at their southern climatic range inWest Siberia: trends and peat accumulation patterns Anna Peregon, Masao Uchida and Yasuyuki Shibata Methane emissions from western Siberian wetlands: heterogeneity and sensitivity to climate change T J Bohn, D P Lettenmaier, K Sathulur, L C Bowling, E Podest, K C McDonald and T Friborg Ecosystem responses to recent climate change and fire disturbance at northern high latitudes: observations and model results contrasting northern Eurasia and North America S J Goetz, M C Mack, K R Gurney, J T Randerson and R A Houghton Ecosystems and climate interactions in the boreal zone of northern Eurasia N N Vygodskaya, P Ya Groisman, N M Tchebakova, J A Kurbatova, O Panfyorov, E I Parfenova and A F Sogachev The cryosphere Potential feedback of thawing permafrost to the global climate system through methane emission O A Anisimov Glacier changes in the Siberian Altai Mountains, Ob river basin, (1952–2006) estimated with high resolution imagery A B Surazakov, V B Aizen, E M Aizen and S A Nikitin Glaciers and hydrological changes in the Tien Shan: simulation and prediction V B Aizen, E M Aizen and V A Kuzmichonok Human dimensions Food and water security in a changing arctic climate Daniel M White, S Craig Gerlach, Philip Loring, Amy C Tidwell and Molly C Chambers
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,003 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,003 | 0,001 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,037 | 0,006 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».