Characteristics of Aerosol Spectral Optical Depths over Manora Peak, Nainital - A High Altitude Station in the Central Himalayas
Ram Sagar, Brijesh Kumar, U. C. Dumka, K. Krishna Moorthy, P. Pant
Abstract
We present, for the first time, spectral behaviour of aerosol optical depths (AODs) over Manora Peak, Nainital located at an altitude of 2 km in the Shivalik ranges of central Himalayas. The observations were carried out using a Multi-Wavelength solar Radiometer during January to December 2002. The main results of the study are extremely low AODs during winter, a remarkable increase to high values in summer and a distinct change in the spectral dependencies of AODs from a relatively steeper spectra during winter to a shallower one in summer. During transparent days, the AOD values lie usually below 0.08 while during dusty (turbid) days, it lies between 0.08 to 0.69 at 0.5 μm. The average AOD value at 0.5 μm during winters, particularly in January and February, is 0.030.01. The mean aerosol extinction law at Manora Peak during 2002 is best represented by 0.10 λ-0.61. However during transparent days, which almost covers 40% of the time, it is represented by 0.02 λ-0.97. This value of wavelength exponent, representing reduced coarse concentration and presence of fine aerosols, indicates that the station measures aerosol in the free troposphere at least during part of the year.
Create a lesson
Related papers
From Sea Surface Height to Velocity - A Machine Learning Approach
Yaswanth Reddy Yaradoddi, Jinbo Wang, Elyes Serghine
Tropical Cyclone-Following Dataset for Limited-Area Machine Learning Applications
Minh-Khanh Luong, Chanh Kieu
Can LLM Agents Improve Imperfect Earth System Model Parameterizations?
Kara D. Lamb
Six-hourly Probabilistic Precipitation Forecasts Created From Hourly Probabilities
Thomas M Hamill
New Wine in an Old Bottle -- NeuralPOM: A Hybrid Ocean Forecast Model with Differentiable Dynamics and Staged Learning
Ruiqi Shu, Guangliang Liu, Ruijian Gou et al.
Jovian Polar Vortex Generation in a Shallow-Water Model with Quasi-Stochastic Convection
Yuhang Ruan, Hao Fu, Cheng Li et al.