Calculating A Daily Normal Temperature Range That Reflects Daily Temperature Variability

Holder, Christopher Thomas; Boyles, Ryan; Robinson, Peter; Raman, Sethu; Fishel, Greg

doi:10.1175/bams-87-6-769

Cited by 17 publications

(9 citation statements)

References 2 publications

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“…However, the T r abscissa from the original universal triangle is replaced by the percent of sensible heating (PH). These fractional PH values will actually be the HI‐LUT output, and they will be used for our purposes to determine the partitioning of solar energy into H and LE—which will eventually help us calculate the final HI values themselves—because it is the quantities of vegetation cover and surface soil moisture that primarily dictate this partitioning [ LeMone et al , 2003; Diak et al , 2004; Holder et al , 2006]. Also, in the HI‐LUT, ordered bins of API values are used to replace the former surface moisture availability fraction isopleths.…”

Section: Methodsmentioning

confidence: 99%

“…Over the past several years, much attention has been paid to the modulating effects of certain land surface characteristics on the thermodynamic profile within the convective boundary layer (CBL). In particular, surface vegetation and soil moisture have been examined with respect to their ability to partition incoming solar radiation, or insolation, into sensible and latent heating, “H” and “LE,” respectively [ Segal et al , 1988; LeMone et al , 2003; Diak et al , 2004; Holder et al , 2006]. The influence this effect has upon the preferential location of shallow and deep convection has also been studied in great detail [ Rabin et al , 1990; Mahrt et al , 1994; Hong et al , 1995; Segal et al , 1995; Crook , 1996; Rabin and Martin , 1996; Pielke , 2001; Dissing and Verbyla , 2003; Ek and Holtslag , 2004; Kustas et al , 2005; Holt et al , 2006; Childs et al , 2006].…”

Section: Introductionmentioning

confidence: 99%

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Development of a land surface heating index–based method to locate regions of potential mesoscale circulation formation

Walker¹,

Mecikalski²,

Knupp³

et al. 2009

J. Geophys. Res.

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[1] A new method is developed to create a land surface heating index (HI) that has the potential to identify preferred source regions of convective initiation (CI) on a daily basis. The method employs remotely sensed land surface characteristics of vegetation and soil moisture, as well as GOES-derived insolation, to develop the HI. Strong gradients in land surface heating can lead to the development of mesoscale circulations, resembling inland sea breezes, which under synoptically calm conditions may lead to the development of CI. By using the proposed HI to locate areas of strong differential surface heating, the source regions of these circulations may be identified hours before any convection forms. The HI has many advantages over most current methods of CI nowcasting, because it is not dependent upon the extrapolation of observed radar and satellite trends, nor does it rely upon complex numerical weather prediction modeling. Also, by incorporating a variety of highresolution data fields, it has the ability to mitigate some of the drawbacks of existing remotely sensed land surface products. The goal of this paper is to describe the development of the method, with the application and verification of the procedures to follow in a subsequent study.

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Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Development of a land surface heating index–based method to locate regions of potential mesoscale circulation formation

Walker¹,

Mecikalski²,

Knupp³

et al. 2009

J. Geophys. Res.

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“…According to Holder et al [28], the choice of sigma value depends on the data set. 95.46% of the sensor data will fall within 2 standard deviation of the mean with 2 sigma consideration.…”

Section: Network and System Architecturementioning

confidence: 99%

A Novel Two-Stage Algorithm Protecting Internal Attack from WSNs

Ahmed¹,

Huang²,

Cui³

2013

IJCNC

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Wireless sensor networks (WSNs) consists of small nodes with constrain capabilities. It enables numerous applications with distributed network infrastructure. With its nature and application scenario, security of WSN had drawn a great attention. In malicious environments for a functional WSN, security mechanisms are essential. Malicious or internal attacker has gained attention as the most challenging attacks to WSNs. Many works have been done to secure WSN from internal attacks but most of them relay on either training data set or predefined thresholds. It is a great challenge to find or gain knowledge about the Malicious. In this paper, we develop the algorithm in two stages. Initially, Abnormal Behaviour Identification Mechanism (ABIM) which uses cosine similarity. Finally, Dempster-Shafer theory (DST)is used. Which combine multiple evidences to identify the malicious or internal attacks in a WSN. In this method we do not need any predefined threshold or tanning data set of the nodes.

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“…In temperature collection WSN we consider the normal temperature range is T= 8 to 10 degree centigrade based on the Gaussian distributing with 1 sigma based on the approach taken by holder el at [6] , and ~T means the temperature is out of range and consider the node M is misbehaved. So, the frame of discernment consists of two probabilities concerning the attacker node A: Θ = {T, ~T}.…”

Section: Evaluation In Wsnmentioning

confidence: 99%

A novel misbehavior evaluation with dempster-shafer theory in wireless sensor networks

Ahmed

Huang

Sharma

2012

Proceedings of the Thirteenth ACM International Symposium on Mobile Ad Hoc Networking and Computing

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Misbehavior evaluation in Wireless Sensor Network (WSN) has attracted significant attention to provide the complete security in the network. Many schemes have been proposed to identify misbehaving nodes in WSN. Most of these mechanisms relay on either predefined threshold or a set a training dataset. But it is not realistic to set a threshold or collecting training dataset of an attack ahead of time. In this paper, we have proposed a misbehaviour evaluation technique based on the dempster-shafer theory by combining the observation result by multiple neighbor nodes.

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Calculating A Daily Normal Temperature Range That Reflects Daily Temperature Variability

Abstract: By utilizing daily normal ranges, weathercasters and others could better communicate to the public the natural expected variability of day-to-day temperatures-a variability not suggested by normals derived from smoothed trend lines.

Cited by 17 publications

References 2 publications

Development of a land surface heating index–based method to locate regions of potential mesoscale circulation formation

Development of a land surface heating index–based method to locate regions of potential mesoscale circulation formation

A Novel Two-Stage Algorithm Protecting Internal Attack from WSNs

A novel misbehavior evaluation with dempster-shafer theory in wireless sensor networks

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