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Session Proposal: Fog in Tropical Mountains, Islands, and Forests (AGU25)

B041
Fog in Tropical Mountains, Islands, and Forests

Session ID#: 249237

Session Description:
Fog plays a unique role in ecosystems such as cloud forests that are found on tropical mountains, mountainous islands, and coastal regions. The presence of fog not only modifies the microenvironment with effects on vegetation and other organisms, but when driven by wind can add significant water input to ecosystems and watersheds through cloud water interception (CWI) by vegetation. We welcome abstracts on the observation, modeling, and prediction of fog and CWI as well as studies related to the influence of fog on biotic and abiotic processes at all scales. Example of topics include, but are not limited to, use of machine learning to analyze digital images of fog, fog gauge methods, fog harvesting technology, remote sensing and numerical model simulation of fog over heterogeneous landscapes, factors affecting fog variation and characteristics, and CWI and associated ecophysiological and hydrological processes.
Co-Sponsor(s):
  • A - Atmospheric Sciences
  • H - Hydrology
Index Terms:

0426 Biosphere/atmosphere interactions [BIOGEOSCIENCES]
1813 Eco-hydrology [HYDROLOGY]
1840 Hydrometeorology [HYDROLOGY]
3322 Land/atmosphere interactions [ATMOSPHERIC PROCESSES]
Primary Convener:  Han Tseng, University of Hawaiʻi at Mānoa, Water Resources Research Center, Honolulu, United States
Convener:  Thomas W Giambelluca, University of Hawaiʻi at Mānoa, Water Resources Research Center, Honolulu, United States
 
Evaluating WRF-Chem Performance for Simulating Dense Fog: A Case Study over Delhi NCR, India (1848677)
Anie K LAL1, Rajesh Kumar2, Ravi Kumar Kunchala3 and Manju Mohan3, (1)Indian Institute of Technology Delhi, Center for Atmospheric Sciences, New Delhi, India, (2)National Center for Atmospheric Research, Research Applications Laboratory, Boulder, CO, United States, (3)Indian Institute of Technology Delhi, Centre for Atmospheric Sciences, New Delhi, India
 
Fog Suppresses Microclimate Spatiotemporal Variability by Weakening Land–Atmosphere Interactions (1871736)
Yi-Shin Jang1, Min-Hui Lo1 and Yen-Jen Lai2, (1)National Taiwan University, Department of Atmospheric Sciences, Taipei, Taiwan, (2)National Taiwan University, Experimental Forest, Nantou, Taiwan
 
In Situ Ground-Based Fog Droplet Measurements for Cloud Water Interception Prediction in a Hawaiian Tropical Montane Cloud Forest (1884664)
Han Tseng1, Thomas W Giambelluca1, Rajesh Sankaran2,3, Pete Beckman3, Dylan Giardina4 and Jason Leigh5, (1)University of Hawaiʻi at Mānoa, Water Resources Research Center, Honolulu, United States, (2)Argonne National Laboratory, Argonne, IL, United States, (3)Northwestern University, Evanston, United States, (4)University of Hawaii at Manoa, Water Resources Research Center, Honolulu, United States, (5)University of Hawaiʻi at Mānoa, Laboratory for Advanced Visualization & Applications, Hawaii Data Science Institute, Honolulu, United States
 
Detecting Cloud Water Interception in a Tropical Montane Cloud Forest Using Dual-Disdrometer Observations in La Réunion (2005204)
Anna Gaspard1, Claudine Ah-Peng2, Pierre Staménoff3, Eloane Moreau4, Camille Duprat5, Arezki Boudaoud5, Stéphanie Drevensek5, Joël Van Baelen4, Victor K/Bidi3, Romain Biron6 and Brice Boudevillain7, (1)UMR PVBMT, Université de la Réunion, Saint-Denis, Reunion, (2)UMR PVBMT, OSU-R, Université de la Réunion, Saint-Denis, Reunion, (3)OSU-R, Université de la Réunion, Saint-Denis, Reunion, (4)UMR LACY, Université de la Réunion, CNRS, Saint-Denis, Reunion, (5)LADHYX, Ecole Polytechnique de Palaiseau, CNRS, Palaiseau, France, (6)Université Grenoble-Alpes, CNRS, INRAE, IRD, Grenoble INP, IGE, Grenoble, France, (7)Université Grenoble-Alpes, CNRS, INRAE, IRD, Grenoble INP, IGE, Saint-Denis, France
See more of: Biogeosciences