QOMS:A Comprehensive Observation Station for Climate Change Research on the Top of Earth

Abstract ID: 3.9110 | Accepted as Talk | Talk/Oral | TBA | TBA

Yaoming Ma (0)
Yaoming Ma ((0) Institute of Tibetan Plateau Research, Building 3,Courtyard 16,Lincui Road,Chaoyang District, 100101, Beiing, Beijing, CN)

(0) Institute of Tibetan Plateau Research, Building 3,Courtyard 16,Lincui Road,Chaoyang District, 100101, Beiing, Beijing, CN

Categories: Monitoring
Keywords: In situ observations, hydrological process, Mount Qomolangma, Atmosphere-land interaction, Automatic weather stations

Categories: Monitoring
Keywords: In situ observations, hydrological process, Mount Qomolangma, Atmosphere-land interaction, Automatic weather stations

The content was (partly) adapted by AI
Content (partly) adapted by AI

Mount Everest (Qomolangma), the highest mountain on Earth, is an unrivaled natural research platform for understanding multispheric interactions over heterogeneous landscapes. The land–atmosphere interactions in this iconic mountain region have paramount importance for weather and climate predictions at both regional and global scales; however, observing and modeling these interactions is inherently challenging due to the extreme environment. The scarcity of multiscale observations hinders progress in this field. Thus, establishing a comprehensive network to systematically observe the land–atmosphere interactions across multiscales in this unrivaled region, is the basis for gaining a better understanding of weather, climate, and climate change. As one of the 69 national observation and research stations in China, the Qomolangma Special Atmospheric Processes and Environmental Changes (QOMS) observation network of land–atmosphere interactions has been established over the northern slope of Mount Everest since 2005. This network consists of six sites with different underlying surfaces, which significantly improves the observational capabilities for the climate system. These observations have promoted the understanding of land–atmosphere interactions and hydrological processes and their impacts on multiscale weather patterns, atmospheric circulations, and climate and have provided data support for informing and guiding model development and remote sensing monitoring. Facing an unprecedented opportunity with enormous development possibilities, we emphasize the considerable potential of these observations for understanding and predicting weather and climate in the Himalayas and beyond. Additionally, we expect to extend the future focus to model–data fusion and to societally relevant applications, such as natural disaster prevention and climate change mitigation and adaptation.

N/A
NAME:
TBA
BUILDING:
TBA
FLOOR:
TBA
TYPE:
TBA
CAPACITY:
TBA
ACCESS:
TBA
ADDITIONAL:
TBA
FIND ME:
>> Google Maps

Limits: min. 3 words, max. 30 words or 200 characters

Choose the session you want to submit an abstract. Please be assured that similar sessions will either be scheduled consecutively or merged once the abstract submission phase is completed.

Select your preferred presentation mode
Please visit the session format page to get a detailed view on the presentation timings
The final decision on oral/poster is made by the (Co-)Conveners and will be communicated via your My#IMC dashboard

Please add here your abstract meeting the following requirements:
NO REFERNCES/KEYWORDS/ACKNOWEDGEMENTS IN AN ABSTRACT!
Limits: min 100 words, max 350 words or 2500 characters incl. tabs
Criteria: use only UTF-8 HTML character set, no equations/special characters/coding
Copy/Paste from an external editor is possible but check/reformat your text before submitting (e.g. bullet points, returns, aso)

Add here affiliations (max. 30) for you and your co-author(s). Use the row number to assign the affiliation to you and your co-author(s).
When you hover over the row number you are able to change the order of the affiliation list.

1
1

Add here co-author(s) (max. 30) to your abstract. Please assign the affiliation(s) of each co-author in the "Assigned Aff. No" by using the corresponding numbers from the "Affiliation List" (e.g.: 1,2,...)
When you hover over the row number you are able to change the order of the co-author list.

1
1
2
3
4
5
1
Close