A surface air temperature response function for earth's atmosphere

To qualify the wind it is necessary to know its direction and speed. It may have interference in direction and wind speed location, time of year, air temperature, pressure of the earth's atmosphere, humidity, atmosphere and reliefs. Their knowledge is of essential importance in various sectors of human activity, including aircraft safety, navigation, civil construction, agriculture, renewable energy, transport and etc. The focus of this work is the gusts of wind recorded in different regions of the semiarid state of Alagoas (Arapiraca and Palmeira dos Índios) and Pernambuco (Garanhuns and Petrolina) in the period 2014-2018. were analyzed the seasonal direction of the gusts, mean annual speed and gust distributions (seasonal and daily), Maximum annual bursts, monthly gust distributions, occurrences above 15 m/s and the day of the highest gust on the surface, to observe how behaves the gusts, temperature, pressure and direction at the time of winds peak.

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Assessment of aerosol effective radiative forcing and surface air temperature response over eastern China in CMIP5 models

Atmospheric and Oceanic Science Letters ◽

10.1080/16742834.2017.1301188 ◽

2017 ◽

Vol 10 (3) ◽

pp. 228-234 ◽

Cited By ~ 3

Author(s):

Rui-Jin LIU ◽

Hong LIAO

Keyword(s):

Air Temperature ◽

Radiative Forcing ◽

Eastern China ◽

Temperature Response ◽

Surface Air Temperature ◽

Cmip5 Models ◽

Effective Radiative Forcing

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Timescale-dependent stability of surface air temperature and the forced temperature response

10.5194/egusphere-egu21-1939 ◽

2021 ◽

Author(s):

Beatrice Ellerhoff ◽

Kira Rehfeld

Keyword(s):

Air Temperature ◽

Radiative Forcing ◽

Temperature Response ◽

Surface Air Temperature ◽

Careful Consideration ◽

Temperature Variability ◽

Local Temperature ◽

Joint Power ◽

Global And Local ◽

Paleoclimate Data

Earth's climate can be understood as a dynamical system that changes due to external forcing and internal couplings. It can be characterized from the evolution of essential climate variables, such as surface air temperature. Yet, the mechanisms, amplitudes, and spatiotemporal patterns of global and local temperature fluctuations around its mean, called temperature variability, are insufficiently understood. Discrepancies exist between temperature variability from model and paleoclimate data at the temporal scale of years to centuries and at the local scale, both of which are important socio-economic scales for long-term planning. Here, we clarify whether global and local temperature signals from the last millennia show a stationary variance on these timescales and thus behave in a stable manner or not. Therefore, we contrast power spectral densities and their scaling behaviors using simulated, observed, and reconstructed temperatures on periods between 10 and 200 years. Despite careful consideration of possible spectral biases, we find that local temperatures from paleoclimate data tend to show unstable behavior, while simulated temperatures almost exclusively show stable behavior. Conversely, the global mean temperature tends to be stable. We explain this by introducing the gain as a powerful tool to analyze the forced temperature response, based on a novel estimate of the joint power spectrum of radiative forcing. Our analysis identifies main deficiencies in the properties of temperature variability and offers new insights into the linkage between raditative forcing and temperature response, relevant to the understanding of Earth&#8217;s dynamics and the assessment of climate risks.

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