Utilisation of the sensor network and remote sensing measurements for validation of the LES model PALM in urban area

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F23%3A00576326" target="_blank" >RIV/67985807:_____/23:00576326 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/00020699:_____/23:N0000098

Výsledek na webu

<a href="https://virtual.oxfordabstracts.com/#/event/3742/submission/500" target="_blank" >https://virtual.oxfordabstracts.com/#/event/3742/submission/500</a>

DOI - Digital Object Identifier

—

Jazyk výsledku

angličtina

Název v původním jazyce

Utilisation of the sensor network and remote sensing measurements for validation of the LES model PALM in urban area

Popis výsledku v původním jazyce

ZÁKLADNÍ ÚDAJE: 11th International Conference on Urban Climate. Titles. Sydney: ICUC, 2023, č. článku 500. [ICUC 2023: International Conference on Urban Climate /11./. 28.08.2023-01.09.2023, Sydney]. ABSTRAKT: The LES based modelling system PALM has been widely extended during recent years. A lot of the development focused on the processes needed for simulation of complex urban environments. Besides individual validations of the newly developed processes, an evaluation of the complete modelling system in a real urban environment is necessary to ensure the reliability of modelling results. Earlier campaigns, e.g. Resler et.al. (2017, 2020), focused mainly on validation of the energy exchange related processes. The currently running observation campaign is realised within the international research project TURBAN and it takes place in Prague, Czech Republic. It focuses mainly on evaluation of the street level dynamical processes by utilisation of a specially built sensor network placed in heavily polluted street canyons. Twenty air quality sensors are complemented by a doppler lidar, microwave radiometer profile observations, and by observations from permanent meteorological and air quality monitoring stations operated by the Czech Hydrometeorological Institute (CHMI). These data are compared with PALM simulations performed for selected episodes of the year. The PALM model is configured in two nested domains with resolution of 10 m / 2 m and the extent of 8×8 km / 1.2×1.6 km. A significant challenge to the campaign was the low accuracy and reliability of sensor observations. The differences in the values of individual sensors as well as their departures from the referential observations reached tens of percent. Using sufficiently long co-measurement with the referential monitoring station and advanced statistical methods, sufficiently accurate and reliable data suitable for model evaluation were obtained. To ensure long-term quality of the observations, two selected sensors are co-located with a permanent referential CHMI station within the simulation domain. The presentation shows the details of the observations and their processing as well as the preliminary results of the model evaluation.

Název v anglickém jazyce

Utilisation of the sensor network and remote sensing measurements for validation of the LES model PALM in urban area

Popis výsledku anglicky

ZÁKLADNÍ ÚDAJE: 11th International Conference on Urban Climate. Titles. Sydney: ICUC, 2023, č. článku 500. [ICUC 2023: International Conference on Urban Climate /11./. 28.08.2023-01.09.2023, Sydney]. ABSTRAKT: The LES based modelling system PALM has been widely extended during recent years. A lot of the development focused on the processes needed for simulation of complex urban environments. Besides individual validations of the newly developed processes, an evaluation of the complete modelling system in a real urban environment is necessary to ensure the reliability of modelling results. Earlier campaigns, e.g. Resler et.al. (2017, 2020), focused mainly on validation of the energy exchange related processes. The currently running observation campaign is realised within the international research project TURBAN and it takes place in Prague, Czech Republic. It focuses mainly on evaluation of the street level dynamical processes by utilisation of a specially built sensor network placed in heavily polluted street canyons. Twenty air quality sensors are complemented by a doppler lidar, microwave radiometer profile observations, and by observations from permanent meteorological and air quality monitoring stations operated by the Czech Hydrometeorological Institute (CHMI). These data are compared with PALM simulations performed for selected episodes of the year. The PALM model is configured in two nested domains with resolution of 10 m / 2 m and the extent of 8×8 km / 1.2×1.6 km. A significant challenge to the campaign was the low accuracy and reliability of sensor observations. The differences in the values of individual sensors as well as their departures from the referential observations reached tens of percent. Using sufficiently long co-measurement with the referential monitoring station and advanced statistical methods, sufficiently accurate and reliable data suitable for model evaluation were obtained. To ensure long-term quality of the observations, two selected sensors are co-located with a permanent referential CHMI station within the simulation domain. The presentation shows the details of the observations and their processing as well as the preliminary results of the model evaluation.

Druh

O - Ostatní výsledky

CEP obor

—

OECD FORD obor

10509 - Meteorology and atmospheric sciences

Projekt

Výsledek vznikl pri realizaci vícero projektů. Více informací v záložce Projekty.

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2023

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů