Mobile in situ concentration and meteorology data were collected for the Chino Dairy Complex in the Los Angeles Basin by AMOG (AutoMObile trace Gas) Surveyor on 25 June 2015 to characterize husbandry emissions in the near and far field in convoy mode with MISTIR (Mobile Infrared Sensor for Tactical Incident Response), a mobile upwards-looking, column remote sensing spectrometer. MISTIR reference flux validated AMOG plume inversions at different information levels including multiple gases, GoogleEarth imagery, and airborne trace gas remote sensing data. Long-term (9-yr.) Infrared Atmospheric Sounding Interferometer satellite data provided spatial and trace gas temporal context.

For the Chino dairies, MISTIR-AMOG ammonia (NH₃) agreement was within 5% (15.7 versus 14.9 Gg yr⁻¹, respectively) using all information. Methane (CH₄) emissions were 30 Gg yr⁻¹ for a 45,200 herd size, indicating that Chino emission factors are greater than previously reported.

Single dairy inversions were much less successful. AMOG-MISTIR agreement was 57% due to wind heterogeneity from downwind structures in these near-field measurements and emissions unsteadiness. AMOG CH₄, NH₃, and CO₂ emissions were 91, 209, and 8200 Mg yr⁻¹, implying 2480, 1870, and 1720 head using published emission factors. Plumes fingerprinting identified likely sources including manure storage, cowsheds, and a structure with likely natural gas combustion.

NH₃ downwind of Chino showed a seasonal variation of a factor of ten, three times larger than literature suggests. Chino husbandry practices and trends in herd size and production were reviewed and unlikely to add seasonality. Higher emission seasonality was proposed as legacy soil emissions, the results of a century of husbandry, supported by airborne remote sensing data showing widespread emissions from neighborhoods that were dairies 15 years prior, and AMOG and MISTIR observations. Seasonal variations provide insights into the implications of global climate change and must be considered when comparing surveys from different seasons.

AMOG（自动痕量气体）测量师于2015年6月25日在洛杉矶盆地的奇诺奶牛场收集了移动的原位浓度和气象数据，以利用MISTIR（移动红外传感器）以车队模式表征近场和远场的畜牧业排放。 （战术事故响应）），这是一种移动式向上看的柱状遥感光谱仪。MISTIR参考通量在不同信息级别验证了AMOG羽流反演，包括多种气体，GoogleEarth图像和机载微量气体遥感数据。长期（9年）红外大气探测干涉仪卫星数据提供了空间和痕量气体的时间范围。

对于奇诺奶牛场，使用所有信息，MISTIR-AMOG氨（NH ₃）协议均在5％以内（分别为15.7和14.9 Gg yr ^-1）。牧群大小为45,200时，甲烷（CH ₄）排放量为30 Gg yr ^-1，这表明奇诺排放因子比以前报道的要大。

单一乳制品倒装的成功率要低得多。由于这些近场测量中顺风结构产生的风异质性和排放不稳定，因此AMOG-MISTIR同意率为57％。AMOG CH ₄，NH ₃和CO _2的排放分别为91、209和8200 Mg yr ^-1，这意味着使用公布的排放因子可以达到2480、1870和1720头。羽状物的指纹识别出了可能的来源，包括粪便存储，牛棚和可能燃烧天然气的结构。

奇诺（Chino）顺风的NH ₃的季节变化为十分之一，比文献中建议的大三倍。对奇诺（Chino）的饲养方式以及牛群规模和产量的趋势进行了回顾，并且不太可能增加季节性。提议将较高的排放季节作为遗留土壤排放，这是一个世纪的畜牧业的结果，并得到航空遥感数据的支持，该数据显示了15年前奶场附近的广泛排放，以及AMOG和MISTIR的观测结果。季节性变化可以洞悉全球气候变化的影响，在比较不同季节的调查时必须考虑这些变化。