Alba Badia

Dr. Alba Badia

Sostenipra Research Group, Institute of Environmental Sciences and Technology, Universitat Autònoma de Barcelona, 08193 Barcelona, Spain

Research Focus & Metrics

Academic Career Length

15Years (2012-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 August 2015 in Atmospheric Environment
Verified
Journal Article
Closed access
UIUlas Im
Ulas Im
RBRoberto Bianconi
Roberto Bianconi
ESEfisio Solazzo
Efisio Solazzo
Ioannis KioutsioukisIoannis Kioutsioukis
Ioannis Kioutsioukis
Alba BadiaAlba Badia
Alba Badia
SGStefano Galmarini
Stefano Galmarini

1 August 2015 in Atmospheric Environment
Verified
Journal Article
Closed access
UIUlas Im
Ulas Im
RBRoberto Bianconi
Roberto Bianconi
ESEfisio Solazzo
Efisio Solazzo
Ioannis KioutsioukisIoannis Kioutsioukis
Ioannis Kioutsioukis
Alba BadiaAlba Badia
Alba Badia
SGStefano Galmarini
Stefano Galmarini

1 August 2015 in Atmospheric Environment
Verified
Journal Article
Open access
DBDominik Brunner
Dominik Brunner
NSNicholas Savage
Nicholas Savage
OJOriol Jorba
Oriol Jorba
BEBrian Eder
Brian Eder
LGLea Giordano
Lea Giordano
SGStefano Galmarini
Stefano Galmarini

10 February 2017 in Geoscientific Model Development
Verified
Journal Article
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Alba BadiaAlba Badia
Alba Badia
OJOriol Jorba
Oriol Jorba
AVApostolos Voulgarakis
Apostolos Voulgarakis
DDDonald Dabdub
Donald Dabdub
CGCarlos Pérez García-Pando
Carlos Pérez García-Pando
ZJZavisa Janjic
Zavisa Janjic
This paper presents a comprehensive description and benchmark evaluation of the tropospheric gas-phase chemistry component of the Multiscale Online Nonhydrostatic AtmospheRe CHemistry model (NMMB-MONARCH), formerly known as NMMB/BSC-CTM, that can be run on both regional and global domains. Here, we provide an extensive evaluation of a global annual cycle simulation using a variety of background surface stations (EMEP, WDCGG and CASTNET), ozonesondes (WOUDC, CMD and SHADOZ), aircraft data (MOZAIC and several campaigns), and satellite observations (SCIAMACHY and MOPITT). We also include an extensive discussion of our results in comparison to other state-of-the-art models. We note that in this study, we omitted aerosol processes and some natural emissions (lightning and volcano emissions). The model shows a realistic oxidative capacity across the globe. The seasonal cycle for CO is fairly well represented at different locations (correlations around 0.3–0.7 in surface concentrations), although concentrations are underestimated in spring and winter in the Northern Hemisphere, and are overestimated throughout the year at 800 and 500 hPa in the Southern Hemisphere. Nitrogen species are well represented in almost all locations, particularly NO2 in Europe (root mean square error – RMSE – below 5 ppb). The modeled vertical distributions of NOx and HNO3 are in excellent agreement with the observed values and the spatial and seasonal trends of tropospheric NO2 columns correspond well to observations from SCIAMACHY, capturing the highly polluted areas and the biomass burning cycle throughout the year. Over Asia, the model underestimates NOx from March to August, probably due to an underestimation of NOx emissions in the region. Overall, the comparison of the modeled CO and NO2 with MOPITT and SCIAMACHY observations emphasizes the need for more accurate emission rates from anthropogenic and biomass burning sources (i.e., specification of temporal variability). The resulting ozone (O3) burden (348 Tg) lies within the range of other state-of-the-art global atmospheric chemistry models. The model generally captures the spatial and seasonal trends of background surface O3 and its vertical distribution. However, the model tends to overestimate O3 throughout the troposphere in several stations. This may be attributed to an overestimation of CO concentration over the Southern Hemisphere leading to an excessive production of O3 or to the lack of specific chemistry (e.g., halogen chemistry, aerosol chemistry). Overall, O3 correlations range between 0.6 and 0.8 for daily mean values. The overall performance of the NMMB-MONARCH is comparable to that of other state-of-the-art global chemistry models.

3 July 2012 in Journal of Geophysical Research: Atmospheres
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Journal Article
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OJO. Jorba
O. Jorba
DDD. Dabdub
D. Dabdub
CBC. Blaszczak‐Boxe
C. Blaszczak‐Boxe
CPC. Pérez
C. Pérez
ZJZ. Janjic
Z. Janjic
MGM. Gonçalves
M. Gonçalves
Atmospheric chemists have recently focused on the relevance of the NO2* + H2O → OH + HONO reaction to local air quality. This chemistry has been considered not relevant for the troposphere from known reaction rates until nowadays. New experiments suggested a rate constant of 1.7 × 10−13 cm3 molecule−1 s−1, which is an order of magnitude faster than the previously estimated upper limit of 1.2 × 10−14 cm3 molecule−1 s−1, determined by Crowley and Carl (1997). Using the new global model, NMMB/BSC Chemical Transport Model (NMMB/BSC‐CTM), simulations are presented that assess the potential significance of this chemistry on global air quality. Results show that if the NO2* chemistry is considered following the upper limit kinetics recommended by Crowley and Carl (1997), it produces an enhancement of ozone surface concentrations of 4–6 ppbv in rural areas and 6–15 ppbv in urban locations, reaching a maximum enhancement of 30 ppbv in eastern Asia. Moreover, NO2 enhancements are minor (<0.01 ppbv) in background regions and reach maximum daytime values of 1–6 ppbv. Similarly, HONO exhibits negligible increases, 8–9 pptv in urban settings. Enhancements in the concentration of OH are around 14–17 × 105 molec cm−3. Decreases in the concentration of O3 and its precursors are also identified but to a lesser degree. In order to quantify the role of the two kinetic rates measured, model simulations are compared after incorporating both reaction rate constants. Maximum O3 difference enhancements from 5 to 10 ppbv are modeled over locations where high NOx emissions are present; however, differences are small in most parts of the globe.

20 January 2020 in Nature Climate Change
Verified
Journal Article
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FIFernando Iglesias-Suarez
Fernando Iglesias-Suarez
Alba BadiaAlba Badia
Alba Badia
RFRafael Pedro Pedro Fernandez
Rafael Pedro Pedro Fernandez
CCCarlos A. Cuevas
Carlos A. Cuevas
DKDouglas E. Kinnison
Douglas E. Kinnison
ASAlfonso Saiz-Lopez
Alfonso Saiz-Lopez