|
ИСТИНА |
Войти в систему Регистрация |
ИПМех РАН |
||
The main cloud characteristics influencing variations of solar irradiance at ground according to the ICON model, CLOUDNET and BSRN observationsтезисы доклада
- Авторы: Shuvalova J., Chubarova N., Shatunova M., Rivin G.
- Сборник: 22th AeroCom and the 11th AeroSAT workshops October 16 – 20 2023
- Тезисы
- Год издания: 2023
- Первая страница: 8
- Аннотация: We analyzed the results of ICON numerical weather prediction model with the two-moment microphysical scheme andecRad radiative scheme using Cloudnet ground-based observations (https://cloudnet.fmi.fi) at the Lindenberg, Juelichand Munich sites, data of MODIS spectroradiometer (https://ladsweb.modaps.eosdis.nasa.gov, Collection 6 Level 2) andBSRN high-quality observations in Lindenberg Observatory. The default number concentration of cloud condensationnuclei (CCN) and CCN equal to 1700 cm-3 (as a characteristic of continental polluted clouds) were used. To estimate thebackground CCN value over the modeling region, we retrieved CCN number concentrations at the cloud base using the method (McComiskey et al., 2009) with MODIS 1-km resolution data. We found an underestimation of simulatedgrid-scale liquid water path relative to Cloudnet observations due to the specificity of cloud droplet nucleation andsaturation adjustment schemes. The growth of CCN led to an increase of cloud droplets number concentration by anaverage of 94±20 cm-3 (65%) and the consequent increase of large-scale liquid water path by 118±2 g/m2 (40%). Thisled to a decrease in solar irradiance by an average of 9 W/m2 (12%) in overcast conditions. The obtained CCN effectscontribute to reducing errors in the liquid water path prediction and solar irradiance at ground. We found a sufficientaccuracy of cloud optical thickness forecast using SOCRATES, when the liquid water path is predicted accurately. However,the solar irradiance is on average overestimated compared to the BSRN observations. We showed that global irradiancevalues are more sensitive to the forecast of the direct to global solar irradiance ratio than to the liquid water path andcloud fraction forecast. A successful prediction of direct to global solar irradiance ratio (as the characteristic clouds spatialinhomogeneity) significantly improves the forecast of solar irradiance.The research was supported by the grant ofMinistry of Science and Higher Education of the Russian Federation (project number 075–15–2021–574). The revision ofthe ICON microphysical scheme and the use of the Model Evaluation Tool verification system is carried out as part of theRoshydromet Research work AAAAA20-120021490079-3.
- Добавил в систему: Шувалова Юлия Олеговна
Прикрепленные файлы
| № | Имя | Описание | Имя файла | Размер | Добавлен |
|---|---|---|---|---|---|
| 1. | aerocom2023_abstracts_.pdf | aerocom2023_abstracts_.pdf | 283,2 КБ | 24 октября 2023 [khlestova] |