Heterogeneity and chemical reactivity of the remote troposphere defined by aircraft measurements

The NASA Atmospheric Tomography (ATom) mission built a photochemical climatology of air parcels based on in situ measurements with the NASA DC-8 aircraft along objectively planned profiling transects through the middle of the Pacific and Atlantic oceans. In this paper we present and analyze a data set of 10 s (2 km) merged and gap-filled observations of the key reactive species driving the chemical budgets of O3 and CH4 (O3, CH4, CO, H2O, HCHO, H2O2, CH3OOH, C2H6, higher alkanes, alkenes, aromatics, NOx, HNO3, HNO4, peroxyacetyl nitrate, other organic nitrates), consisting of 146,494 distinct air parcels from ATom deployments 1 through 4. Six models calculated the O3 and CH4 photochemical tendencies from this modeling data stream for ATom 1. We find that 80 %&ndash;90 % of the total reactivity lies in the top 50 % of the parcels; and 25 %&ndash;35 %, in the top 10 %, supporting previous model-only studies that tropospheric chemistry is driven by a fraction of all the air. In other words, accurate simulation of the least reactive 50 % of the troposphere is unimportant for global budgets. Surprisingly, the probability densities of species and reactivities averaged on a model scale (100 km) differ only slightly from the 2 km ATom data, indicating that much of the heterogeneity in tropospheric chemistry can be captured with current global chemistry models. Comparing the ATom reactivities over the tropical oceans with climatological statistics from six global chemistry models, we find generally good agreement with the reactivity rates for O3 and CH4. In the Pacific but not Atlantic, however, models distinctly underestimate O3 production below 2 km, and this can be traced lower NOX levels than observed. Attaching photochemical reactivities to measurements of chemical species allows for a richer, yet more constrained-to-what-matters, set of metrics for model evaluation.</p

The impact of internal climate variability on OH trends between 2005 and 2014

The hydroxyl radical (OH) lies at the nexus of climate and air quality as the primary oxidant for both reactive greenhouse gases and many hazardous air pollutants. To better understand the role of climate variability on spatiotemporal patterns of OH, we utilize a 13-member ensemble of the Community Earth System Model version 2-Whole Atmosphere Community Climate Model version 6 (CESM2-WACCM6), a fully coupled chemistry-climate model, spanning the years 1950–2014. Ensemble members vary only in their initial conditions of the climate state in 1950. We focus on the final decade of the simulation, 2005–2014, when prior studies disagree on the signs of the global OH trends. The ensemble mean global airmass-weighted mean tropospheric column OH ( $\Omega_{\mathrm{TOH}}$ ), which is an estimate of the forced signal, increases by 0.06%/year between 2005 and 2014 while regional $\Omega_{\mathrm{TOH}}$ trends range from −0.56%/year over Southern Europe to +0.64%/year over South America. We show that ten-year $\Omega_{\mathrm{TOH}}$ trends are strongly affected by internal climate variability, as the spread of $\Omega_{\mathrm{TOH}}$ trends across the ensemble varies between 0.23%/year in Asia and 1.53%/year in South America. We train a fully connected neural network to emulate the $\Omega_{\mathrm{TOH}}$ simulated by the CESM2-WACCM6 model and combine it with satellite observations to interpret the role of OH chemical proxies. While the OH chemical proxies are subject to internal variability, the impact of internal variability on $\Omega_{\mathrm{TOH}}$ trends is primarily due to the meteorological parameters except for South America. Forced trends in global mean $\Omega_{\mathrm{TOH}}$ do not unambiguously emerge from trends driven by internal variability over the 2005–2014 period. The observation-constrained $\Omega_{\mathrm{TOH}}$ presents opposite trends due to climate variability, resulting in varying conclusions on the attribution of OH to CH _4 trends

Datasets supporting "Changing PM2.5 and related meteorology over India from 1950-2014: A new perspective from a chemistry-climate model ensemble"

These datasets are the basis for the figures in, "Changing PM2.5 and related meteorology over India from 1950-2014: A new perspective from a chemistry-climate model ensemble." The abstract of the manuscript reads as follows: Surface PM2.5 concentrations in India have increased dramatically as emissions have risen in recent years. The role of meteorological factors in this increase is unclear, mainly due to a lack of long-term observations over the region. A 12-member ensemble of historical (1950-2014) simulations from the Community Earth System Model version 2-Whole Atmosphere Community Climate Model version 6 (CESM2-WACCM6) offers an unprecedented opportunity to examine simulated daily PM2.5 and meteorology for 20th century climates that can arise due to “climate noise” under the same historical greenhouse gas and air pollutant emission trajectories. CESM2-WACCM6 includes interactive aerosol and gas-phase chemistry in the atmosphere coupled to ocean-sea ice-land models, and each ensemble member differs only in its initial conditions of the climate state. We systematically examine, decade-by-decade, the changes in PM2.5 and associated meteorology, including wind speed, surface temperature inversions, boundary layer height, precipitation, and relative humidity in four cities in India: Chennai, Kolkata, Mumbai, and New Delhi. Forced changes clearly emerge in meteorological variables from 1950 to 2014, including increases in both relative humidity and temperature inversion strength, and decreases in boundary layer height and average surface wind speed. The timing of these changes varies by city: boundary layer heights decrease most over New Delhi in the premonsoon season (ensemble average decrease of 400m), but over Mumbai in the postmonsoon season (ensemble average decrease of 100m). PM2.5 concentrations increase across India regardless of climate variability, with an almost threefold increase from 1950 to 2014 over New Delhi. Analysis of dimensionless variables shows that PM2.5 exhibits larger ensemble mean trends and smaller variability than the trends in the meteorological variables, enabling us to infer that the increase in PM2.5 is predominantly controlled by rises in anthropogenic emissions, rather than climate variability. Overall, our simulations corroborate the dominant role of air pollutant emissions on poor air quality in India

Prevalência de hipertensão resistente em adultos não idosos: estudo prospectivo em contexto ambulatorial

FUNDAMENTO: Em face de definições de variáveis e critérios de amostragem, a real prevalência de hipertensão resistente em ambiente clínico é desconhecida. OBJETIVO: Investigar a prevalência de real hipertensão resistente em uma clínica de hipertensão arterial. MÉTODOS: Hipertensão resistente verdadeira foi diagnosticada quando fenômeno do jaleco branco, insuficiente adesão ao tratamento e hipertensão secundária foram excluídos em pacientes com Pressão Arterial (PA) &#8805; 140/90 mmHg em duas visitas consecutivas, usando três de fármacos anti-hipertensivos, incluindo um diurético. RESULTADOS: No total, 606 pacientes, com 35 a 65 anos de idade, a maioria mulheres, com PA de 156,8 ± 23,8 mmHg por 91,9 ± 15,6 mmHg e IMC de 29,7 ± 5,9 Kg/m² foram sequencialmente avaliados. Cento e seis pacientes em uso de três agentes anti-hipertensivos estavam com pressão arterial não controlada (17,5% da amostra total) na primeira visita. Oitenta e seis pacientes (81% dos pacientes com PA não controlada na primeira avaliação) retornaram para a avaliação de confirmação: 25 estavam com PA controlada; 21 tinham evidência de baixa adesão ao tratamento; 13 tinham fenômeno do jaleco branco; e 9 tinham hipertensão secundária, restando 18 pacientes (20,9% dos não controlados na consulta de confirmação e 3% da amostra total) com verdadeira hipertensão resistente. Considerando pacientes com hipertensão secundária como casos de hipertensão refratária, a prevalência de hipertensão resistente aumentou para 4,5%. CONCLUSÃO: A frequência de hipertensão resistente verdadeira em pacientes não idosos é baixa em um ambiente clínico, e não é substancialmente aumentada com a inclusão de pacientes com hipertensão secundária. (Arq Bras Cardiol. 2012; [online].ahead print, PP.0-0