scholarly journals O CLIMA E SUA INFLUÊNCIA NA DISTRIBUIÇÃO DA FLORESTA OMBRÓFILA DENSA NA SERRA DA PRATA, MORRETES, PARANÁ

FLORESTA ◽  
2011 ◽  
Vol 41 (3) ◽  
Author(s):  
Christopher Thomas Blum ◽  
Carlos Vellozo Roderjan ◽  
Franklin Galvão
Keyword(s):  
Relative Humidity ◽  
Meteorological Data ◽  
Lapse Rate ◽  
Mountain Range ◽  
Air Masses ◽  
Temperature Lapse Rate ◽  
Serra Do Mar ◽  
Average Temperature ◽  
Climatic Transition ◽  
Apparent Influence

O estudo teve como objetivo caracterizar aspectos climáticos, com enfoque na temperatura e umidade relativa do ar e sua influência sobre a distribuição da vegetação numa encosta da Serra da Prata, Morretes, Paraná, coberta pelas formações Submontana e Montana da Floresta Ombrófila Densa. Entre julho de 2009 e junho de 2010 foram obtidos dados meteorológicos, aos 400 e 1.000 m s.n.m. As temperaturas médias no período foram 19,0 ºC (400 m) e 16,3 ºC (1.000 m). A taxa de redução térmica com a elevação altitudinal foi 0,44 ºC/100 m. Detectou-se uma região de transição climática em torno dos 700 m de altitude, com o clima Cfb acima e o Cfa abaixo. A isoterma da temperatura média de 13 ºC no mês mais frio, estimada para a região dos 800 m s.n.m., coincide com o limite inferior de ocorrência da formação Montana, denotando a influência das baixas temperaturas na diferenciação da vegetação. As médias de umidade relativa do ar foram elevadas, devido ao constante aporte das massas de ar úmido oriundas do oceano. As médias das amplitudes diárias de temperatura e umidade foram muito semelhantes para as duas altitudes, demonstrando que a variação altitudinal parece não exercer influência sobre suas variações diárias na encosta estudada.Palavras-chave:  Gradiente altitudinal; Serra do Mar; Floresta Atlântica; temperatura; umidade relativa do ar. AbstractClimate and his influence over the Atlantic Dense Rainforest distribution in the Prata Mountain Range, Morretes, Paraná, South Brazil. This study aimed to characterize climatic aspects, focusing air temperature and relative humidity, as well as its influence to vegetation distribution in a slope of Prata Mountain Range, Morretes, Paraná, covered by Submontane and Montane formations of the Atlantic Rainforest. Between July of 2009 and June of 2010 meteorological data was collected, at 400 and 1,000 m a.s.l. The average temperature along this period was 19.0 ºC (400 m) and 16.3 ºC (1,000 m). The temperature lapse rate was 0.44 ºC/100 m. It was detected a climatic transition region at about 700 m a.s.l., with the Cfb type above, and the Cfa type below. The isotherm of the average temperature of 13 ºC in the coldest month, estimated for the region of about 800 m a.s.l., agrees with the inferior limit of the Montane formation, denoting influence of low temperatures in the vegetation distinction. The air relative humidity average was high, because the regular arrival of moist air masses from the ocean. The average of daily amplitude of temperature and relative humidity were very similar for both studied altitudes, denoting not apparent influence of the altitudinal variation to the daily variation of these climatic variables in the slope.Keywords:              Altitudinal gradient; Serra do Mar; Atlantic Ombrophilous Dense Forest; temperature; air relative humidity.

scholarly journals Effect of the relative humidity on an industrial plume behavior

2013 ◽  
Vol 8 (3) ◽  
pp. 297-305
Keyword(s):  
Relative Humidity ◽  
Meteorological Data ◽  
Source Parameters ◽  
Momentum Equation ◽  
Lapse Rate ◽  
Maximum Height ◽  
Atmospheric Conditions ◽  
Empirical Formulas ◽  
Ratio Distribution ◽  
Temperature Lapse Rate

In order to accurately predict the pollutant concentrations and the plume trajectory in the atmosphere, it is necessary to take into account the effects of interactions between the plume and the surrounding environment. In fact, the atmospheric conditions have a lot of influence on the plume behavior. Earlier models were based on statistical approach. However, this approach presents many shortcomings, in that way they are unable to take directly into account some atmospheric properties such as the moisture of the air. A complete model is the one that solves the entire set of momentum equation completed by energy and species equations. A number of approximate predictive methods for the plume flow in stratified surroundings have been developed in the literature such as Abraham (1965), Schwartz and Tulin (1972), Sneck and Brown (1974), Wright (1984) and Hwang and Chiang (1986). In this work, we use the lagrangian concept based on the so-called projected area entrainment in its latest formulation (Lee and Cheung 1990) to predict the effect of relative humidity on the plume behavior. Input-required data include source parameters such as the gas exhaust conditions (temperature release, exit velocity, mixing ratios), physical dimensions (diameter and height of stack) and meteorological data. In the present work, only idealized meteorological conditions which neglect the vertical variation of the wind speed, the temperature lapse rate and the relative humidity are considered. The output of the model gives an idea on characteristics parameters of the plume such as its trajectory, its temperature and mixing ratio distribution and its length of visibility. The model validation is accomplished through a comparison of the computed plume maximum height with results obtained using empirical formulas (Hanna, 1972). Also, the calculated plume visibility length is confronted to the ADMS results obtained by Carruthers et al. (2000). The effect of relative humidity is then investigated.

scholarly journals Basic Diagnosis and Prediction of Persistent Contrail Occurrence Using High-Resolution Numerical Weather Analyses/Forecasts and Logistic Regression. Part II: Evaluation of Sample Models

2009 ◽  
Vol 48 (9) ◽  
pp. 1790-1802 ◽  
Author(s):  
David P. Duda ◽  
Patrick Minnis
Keyword(s):  
Relative Humidity ◽  
Wind Direction ◽  
Meteorological Data ◽  
Logistic Models ◽  
Satellite Observations ◽  
Lapse Rate ◽  
Prediction System ◽  
Advanced Regional Prediction System ◽  
Regional Prediction ◽  
Surface Models

Abstract A probabilistic forecast to accurately predict contrail formation over the conterminous United States (CONUS) is created by using meteorological data based on hourly meteorological analyses from the Advanced Regional Prediction System (ARPS) and the Rapid Update Cycle (RUC) combined with surface and satellite observations of contrails. Two groups of logistic models were created. The first group of models (SURFACE models) is based on surface-based contrail observations supplemented with satellite observations of contrail occurrence. The most common predictors selected for the SURFACE models tend to be related to temperature, relative humidity, and wind direction when the models are generated using RUC or ARPS analyses. The second group of models (OUTBREAK models) is derived from a selected subgroup of satellite-based observations of widespread persistent contrails. The most common predictors for the OUTBREAK models tend to be wind direction, atmospheric lapse rate, temperature, relative humidity, and the product of temperature and humidity.

Using Radio Occultation to Detect Clouds in the Middle and Upper Troposphere

2021 ◽  
Author(s):  
Jeana Mascio ◽  
Stephen S. Leroy ◽  
Robert P. d’Entremont ◽  
Thomas Connor ◽  
E. Robert Kursinski
Keyword(s):  
Relative Humidity ◽  
High Performance ◽  
Radio Occultation ◽  
Three Dimensional ◽  
Roc Curves ◽  
Lapse Rate ◽  
Cloud Detection ◽  
Upper Troposphere ◽  
Temperature Lapse Rate ◽  
Direct Sensitivity

AbstractRadio occultation (RO) measurements have little direct sensitivity to clouds, but recent studies have shown that they may have an indirect sensitivity to thin, high clouds that are difficult to detect using conventional passive space-based cloud sensors. We implement two RO-based cloud detection (ROCD) algorithms for atmospheric layers in the middle and upper troposphere. The first algorithm is based on the methodology of a previous study, which explored signatures caused by upper tropospheric clouds in RO profiles according to retrieved relative humidity, temperature lapse rate, and gradients in log-refractivity (ROCD-P), and the second is based on inferred relative humidity alone (ROCD-M). In both, atmospheric layers are independently predicted as cloudy or clear based on observational data, including high performance RO retrievals. In a demonstration, we use data from 10 days spanning seven months in 2020 of FORMOSAT-7/COSMIC-2. We use the forecasts of NOAA GFS to aid in the retrieval of relative humidity. The prediction is validated with a cloud truth dataset created from the imagery of the GOES-16 Advanced Baseline Imager (ABI) satellite and the GFS three-dimensional analysis of cloud state conditions. Given these two algorithms for the presence or absence of clouds, confusion matrices and receiver operating characteristic (ROC) curves are used to analyze how well these algorithms perform. The ROCD-M algorithm has a balanced accuracy, which defines the quality of the classification test that considers both the sensitivity and specificity, greater than 70% for all altitudes between 6 and 10.25 km.

scholarly journals Parameter sensitivity of a distributed enhanced temperature-index melt model

2013 ◽  
Vol 54 (63) ◽  
pp. 311-321 ◽  
Author(s):  
Martin Heynen ◽  
Francesca Pellicciotti ◽  
Marco Carenzo
Keyword(s):  
Model Uncertainty ◽  
Meteorological Data ◽  
Lapse Rate ◽  
Shortwave Radiation ◽  
Temperature Threshold ◽  
Temperature Index ◽  
Temperature Lapse Rate ◽  
Clear Sky ◽  
The Andes ◽  
Optimal Value

AbstractWe investigate the sensitivity of a distributed enhanced temperature-index (ETI) melt model, in order to understand which parameters have the largest influence on model outputs and thus need to be accurately known. We use melt and meteorological data from two Alpine glaciers and one glacier in the Andes of Chile. Sensitivity analysis is conducted in a systematic way in terms of parameters and the different conditions (day, night, clear-sky, overcast), melt seasons and glaciers examined. The sensitivity of total melt to changes in individual parameters is calculated using a local method around the optimal value of the parameters. We verify that the parameters are optimal at the distributed scale and assess the model uncertainty induced by uncertainty in the parameters using a Monte Carlo technique. Model sensitivity to parameters is consistent across melt seasons, glaciers, different conditions and the daily statistics examined. The parameters to which the model is most sensitive are the shortwave-radiation factor, the temperature lapse rate for extrapolation of air temperature, the albedo parameters, the temperature threshold and the cloud transmittance factor parameters. A parameter uncertainty of 5% results in a model uncertainty of 5.6% of mean melt on Haut Glacier d’Arolla, Switzerland.

A New Upper Air Data System—The Transosonde

1956 ◽  
Vol 37 (7) ◽  
pp. 342-350 ◽  
Author(s):  
Albert D. Anderson ◽  
Henry J. Mastenbrook
Keyword(s):  
Constant Pressure ◽  
Meteorological Data ◽  
Data Gathering ◽  
Field Tests ◽  
Primary Source ◽  
Lapse Rate ◽  
Temperature Lapse Rate ◽  
Pressure Surface ◽  
Acceleration And Deceleration ◽  
Wind Velocities

A new concept of upper-air data collection utilizes instrumented balloons controlled to float along given constant-pressure surfaces in the atmosphere. A system of instrumentation, named the transosonde (trans-oceanic-sonde) has been developed for implementing this concept. Field tests have established the technical and meteorological feasibility of the system. In the course of the tests, transosonde balloons were tracked over distances of thousands of miles using a network of shore-based high-frequency radio-direction-finder stations. Emphasis has been placed upon the trajectory of the balloon as the primary source of meteorological data. Wind velocities and accelerations can be derived directly from constant-pressure surface trajectories, providing valuable synoptic and research data. Balloon trajectories in passing through major troughs and ridges define these features, giving information of importance for synoptic analysis and long-range forecasting. In addition, a sequence of trajectories provides a measure of the acceleration and deceleration of these entities. The transosonde system has additional data-gathering potentials for temperature, lapse rate, wind shear and other parameters. It is concluded that the system can be employed over those regions of the globe where upper-air data are lacking at a cost competitive with present-day systems.

scholarly journals Impact of gravity waves on the motion and distribution of atmospheric ice particles

2018 ◽  
Vol 18 (14) ◽  
pp. 10799-10823 ◽  
Author(s):  
Aurélien Podglajen ◽  
Riwal Plougonven ◽  
Albert Hertzog ◽  
Eric Jensen
Keyword(s):  
Relative Humidity ◽  
Gravity Waves ◽  
Ice Crystals ◽  
Lapse Rate ◽  
Temperature Lapse Rate ◽  
Tropical Tropopause Layer ◽  
Tropical Tropopause ◽  
Ice Particles ◽  
The Pacific ◽  
The Impact

Abstract. Gravity waves are an ubiquitous feature of the atmosphere and influence clouds in multiple ways. Regarding cirrus clouds, many studies have emphasized the impact of wave-induced temperature fluctuations on the nucleation of ice crystals. This paper investigates the impact of the waves on the motion and distribution of ice particles, using the idealized 2-D framework of a monochromatic gravity wave. Contrary to previous studies, special attention is given to the impact of the wind field induced by the wave. Assuming no feedback of the ice on the water vapor content, theoretical and numerical analyses both show the existence of a wave-driven localization of ice crystals, where some ice particles remain confined in a specific phase of the wave. The precise location where the confinement occurs depends on the background relative humidity, but it is always characterized by a relative humidity near saturation and a positive vertical wind anomaly. Hence, the wave has an impact on the mean motion of the crystals and may reduce dehydration in cirrus by slowing down the sedimentation of the ice particles. The results also provide a new insight into the relation between relative humidity and ice crystals' presence. The wave-driven localization is consistent with temperature–cirrus relationships recently observed in the tropical tropopause layer (TTL) over the Pacific during the Airborne Tropical Tropopause EXperiment (ATTREX). It is argued that this effect may explain such observations. Finally, the impact of the described interaction on TTL cirrus dehydration efficiency is quantified using ATTREX observations of clouds and temperature lapse rate.

scholarly journals Characterizing and correcting the warm bias observed in AMDAR temperature observations

2021 ◽  
Author(s):  
Siebren de Haan ◽  
Paul M. A. de Jong ◽  
Jitze van der Meulen
Keyword(s):  
Meteorological Data ◽  
Weather Prediction ◽  
Atmospheric Temperature ◽  
Lapse Rate ◽  
Warm Bias ◽  
Temperature Lapse Rate ◽  
Additional Information ◽  
Temperature Bias ◽  
Temperature Observations ◽  
Nwp Model

Abstract. Some aircraft temperature observations, retrieved through the Aircraft Meteorological Data Relay (AMDAR), suffer from a significant warm bias when comparing observations with numerical weather prediction (NWP) model. In this manuscript we show that this warm bias of AMDAR temperature can be characterized and consequently reduced substantially. The characterization of this warm bias is based on the methodology of measuring temperature with a moving sensor and can be split into two separate processes. The first process depends on the flight phase of the aircraft and relates to difference of timing, as it appears that the time of measurement of altitude and temperature differ. When an aircraft is ascending or descending this will result in small bias in temperature due to the (on average) presence of an atmospheric temperature lapse rate. The second process is related to internal corrections applied to pressure altitude without feedback to temperature observation measurement. Based on NWP model temperature data combined with additional information on Mach number and true airspeed, we were able to estimate corrections using an 18 months period from January 2017 to July 2018. Next, the corrections were applied on AMDAR observations over the period from September 2018 to mid-December 2019. Comparing these corrected temperatures with (independent) radiosonde temperature observations demonstrates a reduction of the temperature bias from 0.5 K to around zero and reduction of standard deviation of almost 10 %.

scholarly journals STUDY ON DESERTIFICATION MONITORING FROM 2000 TO 2014 AND ITS DRIVING FACTORS THROUGH REMOTE SENSING IN NINGXIA，CHINA

2018 ◽  
Vol XLII-3 ◽  
pp. 2439-2447
Author(s):  
Z. Zhao ◽  
Q. Wu
Keyword(s):  
Remote Sensing ◽  
Relative Humidity ◽  
Grey Relational Analysis ◽  
Meteorological Data ◽  
Great Influence ◽  
Driving Factors ◽  
Average Temperature ◽  
Relational Analysis ◽  
Sunshine Hours ◽  
Grey Relational

Due to the implementation of national policy, the desertification in Ningxia has been gradually reduced, but the overall situation of desertification is still serious. Rainfall Use Efficiency(RUE) can make some improvement to the problem that the precipitation has a great influence on vegetation in arid area and fully reflect the dynamic characteristics of desertification. Using the MOD13Q1 data, land use classification map, as well as non-remote sensing data such as meteorological data and social statistics data, the paper carries out the evaluation of the status of desertification based on RUE through spatial trend analysis, gravity center migration model. The driving factors of desertification are quantitatively analyzed by using grey relational analysis. Our study demonstrated that RUE in most parts of Ningxia showed a trend of improvement, mainly located in central and southern Ningxia. The area where desertification occurred from 2000 to 2014 accounted for 7.79 %, mainly distributed in Helan Mountain, Liupan Mountain, Yinchuan Central. The proportion of desertification decreased gradually from 2005 to 2014, and the center of gravity of desertification had a tendency to migrate to northern Ningxia. By analyzing the driving factors, RUE had negative correlations with precipitation and relative humidity and there was no significant correlation between RUE and average temperature and sunshine hours. RUE was positively correlated with GDP, grain yield and number of sheep. On the basis of the results of grey relational analysis, it was found that sunshine hours, average temperature, relative humidity, population were the main influencing factors of desertification.

scholarly journals Impact of gravity waves on the motion and distribution of atmospheric ice particles

2017 ◽  
Author(s):  
Aurélien Podglajen ◽  
Riwal Plougonven ◽  
Albert Hertzog ◽  
Eric Jensen
Keyword(s):  
Relative Humidity ◽  
Gravity Waves ◽  
Ice Crystals ◽  
Lapse Rate ◽  
Temperature Lapse Rate ◽  
Tropical Tropopause Layer ◽  
Tropical Tropopause ◽  
Ice Particles ◽  
The Pacific ◽  
The Impact

Abstract. Gravity waves are an ubiquitous feature of the atmosphere and influence clouds in multiple ways. Regarding cirrus clouds, many studies have emphasized the impact of wave-induced temperature fluctuations on the nucleation of ice crystals. This paper investigates the impact of the waves on the motion and distribution of ice particles, using the idealized 2-D framework of a monochromatic gravity wave. Contrary to previous studies, a special attention is given to the impact of the wind field induced by the wave. Assuming no feedback of the ice on the water vapor content, theoretical and numerical analyses both show the existence of a wave-driven localization of ice crystals, where some ice particles remain confined in a specific phase of the wave. The precise location where the confinement occurs depends on the background relative humidity, but it is always characterized by a relative humidity near saturation and a positive vertical wind anomaly. Hence, the wave has an impact on the mean motion of the crystals and may reduce dehydration in cirrus by slowing down the sedimentation of the ice particles. The results also provide a new insight into the relation between relative humidity and ice crystals presence. The wave-driven localization is consistent with temperature-cirrus relationships recently observed in the tropical tropopause layer (TTL) over the Pacific during the Airborne Tropical Tropopause EXperiment (ATTREX). It is argued that this effect may explain such observations. Finally, the impact of the described interaction on TTL cirrus dehydration efficiency is quantified using ATTREX observations of clouds and temperature lapse rate.

An Analytical Model for Tropical Relative Humidity

2014 ◽  
Vol 27 (19) ◽  
pp. 7432-7449 ◽  
Author(s):  
David M. Romps
Keyword(s):  
Relative Humidity ◽  
Analytical Model ◽  
Climate Models ◽  
Global Climate ◽  
Invariant Function ◽  
Global Climate Models ◽  
Lapse Rate ◽  
Temperature Lapse Rate ◽  
Cloud Resolving Model ◽  
Simple Ratio

Abstract An analytical model is derived for tropical relative humidity using only the Clausius–Clapeyron relation, hydrostatic balance, and a bulk-plume water budget. This theory is constructed for radiative–convective equilibrium and compared against a cloud-resolving model. With some reinterpretation of variables, it can be applied more generally to the entire tropics. Given four variables—pressure, temperature, and the fractional entrainment and detrainment rates—the equations predict the relative humidity (RH) and the temperature lapse rate analytically. The RH is a simple ratio involving the fractional detrainment rate and the water-vapor lapse rate. When integrated upward in height, the equations give profiles of RH and temperature for a convecting atmosphere. The theory explains the magnitude of RH and the “C” shape of the tropospheric RH profile. It also predicts that RH is an invariant function of temperature as the atmosphere warms, and this behavior matches what has been seen in global climate models and what is demonstrated here with cloud-resolving simulations. Extending the theory to include the evaporation of hydrometeors, a lower bound is derived for the precipitation efficiency (PE) at each height: PE > 1 − RH. In a cloud-resolving simulation, this constraint is obeyed with the PE profile taking the shape of an inverted C shape.

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