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首页> 外文期刊>Atmospheric chemistry and physics >Assessing the sensitivity of the hydroxyl radical to model biases in composition and temperature using a single-column photochemical model for Lauder, New Zealand
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Assessing the sensitivity of the hydroxyl radical to model biases in composition and temperature using a single-column photochemical model for Lauder, New Zealand

机译：利用新西兰劳德的单柱光化学模型评估羟基自由基对组成和温度模型偏差的敏感性

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摘要

We assess the major factors contributing to local biases in the hydroxyl radical (OH) as simulated by a global chemistry–climate model, using a single-column photochemical model (SCM) analysis. The SCM has been constructed to represent atmospheric chemistry at Lauder, New Zealand, which is representative of the background atmosphere of the Southern Hemisphere (SH) mid-latitudes. We use long-term observations of variables essential to tropospheric OH chemistry, i.e. ozone (O_3), water vapour (H_2O), methane (CH_4), carbon monoxide (CO), and temperature, and assess how using these measurements affect OH calculated in the SCM, relative to a reference simulation only using modelled fields. The analysis spans 1994 to 2010. Results show that OH responds approximately linearly to correcting biases in O_3;H_2O;CO;CH_4, and temperature. The biggest impact on OH is due to correcting an overestimation by approximately 20 to 60% of H_2O, using radiosonde observations. Correcting this moist bias leads to a reduction of OH by around 5 to 35 %. This is followed by correcting predominantly overestimated O_3. In the troposphere, the model biases are mostly in the range of -10 to 30%. The impact of changing O_3 on OH is due to two pathways; the OH responses to both are of similar magnitude but different seasonality: correcting in situ tropospheric ozone leads to changes in OH in the range -14 to 4%, whereas correcting the photolysis rate of O_3 in accordance with overhead column ozone changes leads to increases of OH of 8 to 16%. The OH sensitivities to correcting CH_4, CO, and temperature biases are all minor effects. The work demonstrates the feasibility of quantitatively assessing OH sensitivity to biases in longerlived species, which can help explain differences in simulated OH between global chemistry models and relative to observations. In addition to clear-sky simulations, we have performed idealized sensitivity simulations to assess the impact of clouds (ice and liquid) on O
机译：我们使用单柱光化学模型（SCM）分析来评估羟基自由基（OH）局部偏见的主要因素。 SCM已经建造起来代表新西兰劳德的大气化学，其代表南半球（SH）中纬度的背景气氛。我们使用对对流层oh化学必需的变量的长期观测，即臭氧（O_3），水蒸气（H_2O），甲烷（CH_4），一氧化碳（CO）和温度，并评估使用这些测量的影响oh计算SCM，相对于仅使用建模字段的参考仿真。 1994年至2010年分析跨度。结果表明，OH致响线性地响应纠正O_3中的偏差; H_2O; CO; CH_4和温度。对OH的最大影响是由于使用无线电探测器校正约20％至60％的H_2O的高估。纠正这种潮湿的偏压导致哦的减少约5％至35％。然后纠正主要过度高估的O_3。在对流层中，模型偏差大多在-10到30％的范围内。改变O_3 ON OH的影响是由于两个途径;对两者的OH反应具有相似的季节性，但季节性不同：校正原位对流层臭氧导致OH的变化在-14至4％的范围内，而校正根据架空柱臭氧变化的O_3的光解率导致增加哦，8到16％。校正CH_4，CO和温度偏差的OH敏感性是所有次要影响。该工作证明了定量评估OH敏感性对较长阶段的偏差的敏感性的可行性，这可以帮助解释在全球化学模型和相对于观察之间模拟oh的差异。除了清晰的天空模拟之外，我们还表现了理想化的敏感性模拟，以评估云（冰和液）对o的影响

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