ALBERT

All Library Books, journals and Electronic Records Telegrafenberg

Your email was sent successfully. Check your inbox.

An error occurred while sending the email. Please try again.

Proceed reservation?

Export
Filter
  • 2020-2022  (2)
Collection
Years
Year
  • 1
    Publication Date: 2020-10-01
    Description: Consumers of climate model information face difficulty in assessing which models and projections are best for their particular needs. This difficulty stems from the abundance of climate information, as well as the relative inaccessibility or unavailability of information concerning a given model’s quality, trade-offs, and suitability for a particular geographic region or decision-making application. Consumer reports have traditionally provided potential consumers with background knowledge and a review of available products and services to help to make decisions. As a knowledge broker for climate information in the Great Lakes region, the Great Lakes Integrated Sciences and Assessments (GLISA) team has developed a suite of climate model consumer-report-style documents to help climate information consumers make decisions when selecting models and projections for their work. To develop the reports, GLISA reviewed examples of consumer reports from other sectors, relied on the feedback and advice of our ongoing Practitioner Working Group composed of real-world consumers, and incorporated otherwise-unavailable information from model developers. Due to close, continuing partnership with our Practitioner Working Group, the content and the formatting of our climate model consumer reports respond directly to the needs of consumers. Our reports therefore evolve based on needs of the practitioners as well as with the knowledge generated by our research in usability of climate knowledge. We pose that climate model consumer reports, especially when developed in the context of trusted user–knowledge broker relationships, contribute to making climate information more relevant to and usable by practitioners.
    Print ISSN: 0003-0007
    Electronic ISSN: 1520-0477
    Topics: Geography , Physics
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
  • 2
    Publication Date: 2021-04-14
    Description: The processes that lead to the spatial and temporal evolution of the Bermuda High (BH) during July and August (JA) are investigated on the basis of linear regression analysis. The analysis is based on a Bermuda high index (BHI): the difference in standardized, deseasonalized and detrended sea-level pressure (SLP) between northeast of Bermuda (40°N, 60°W) and New Orleans (30°N 90°W). Negative values of BHI indicate a westward expansion of the Bermuda High relative to its climatological-mean location and reduced precipitation in the southeastern US (SEUS), whereas positive values correspond to BH contraction and enhanced precipitation in the SEUS. Linear regression of the 200 hPa geopotential height based on the BHI reveals the existence of a Rossby wave train that extends zonally from the eastern north Pacific to the eastern-north Atlantic. The troughs and ridges associated with this wave train are spatially collocated with the climatological-mean jet stream, indicating that the jet serves as their waveguide. Anomalous troughing in the SEUS associated with this wave train is linked to the contraction of the Bermuda high during JA. The enhanced precipitation is associated with anomalous ascent to the east and south of this trough where anomalous warm advection is observed. Based on these results, it is hypothesized that this Rossby wave train may partially explain the occurrence of suppressed precipitation tied to midsummer drought in the SEUS during July and August. It is found that the BHI has trended from negative to positive in recent decades, suggesting that it may be influenced by low-frequency variability.
    Print ISSN: 0894-8755
    Electronic ISSN: 1520-0442
    Topics: Geography , Geosciences , Physics
    Location Call Number Expected Availability
    BibTip Others were also interested in ...
Close ⊗
This website uses cookies and the analysis tool Matomo. More information can be found here...