The Merger of Mesoscale Datasets into a Common Cartesian Format for Efficient and Systematic Analyses

Mohr, Carl G.; Miller, L. Jay; Vaughan, Robin L.; Frank, Harold W.

doi:10.1175/1520-0426(1986)003<0143:tmomdi>2.0.co;2

Cited by 165 publications

(95 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This matrix was then used to create constant altitude plan position indicator (CAPPI) maps. To produce CAPPI maps from PPI is equivalent to a change of basis in R 3 which transforms the original spherical coordinates of the radar measurement into Cartesian coordinates, and constitutes a common practice in work with radar data because it makes it easier to interpret and post-process the data To create the CAPPI, we follow the interpolation method described in Mohr and Vaughan (1979) and Mohr et al (1986). This method is also used by the software Reorder (developed at NCAR), which is widely used today Rowe et al, 2011).…”

Section: Radarmentioning

confidence: 99%

The properties of convective storms in central Mexico: A radar and lightning approach

Novo

Raga

2013

Atmósfera

View full text Add to dashboard Cite

RESUMENSe emplean datos del radar de Cerro Catedral (una elevación cercana a la Ciudad de México) para investigar las propiedades de las tormentas convectivas que ocurren sobre el centro de México, una región de orografía compleja. La distribución espacial muestra que las tormentas tienden a formarse y moverse hacia el oeste del radar, sobre una banda estrecha de terreno elevado. No obstante, las tormentas con los mayores volúmenes y alturas en sus topes tienden a localizarse hacia el suroeste, sobre terrenos bajos. Cada elemento convectivo se enlazó con el número de descargas eléctricas a tierra producidas en su interior, según fueron detectadas por la World Wide Lightning Location Network (Red Mundial de Localización de Rayos). Las tormentas en las que se detectaron descargas y que tuvieron un promedio de más de seis rayos en su interior, fueron significativamente más grandes e intensas que las tormentas en las que no se detectaron descargas, y tendieron a localizarse sobre terrenos más bajos. La muestra de más de 98 000 celdas identificadas se dividió en cuatro grupos de acuerdo con la elevación, para investigar posibles tendencias de las propiedades medias relacionadas con la altura del terreno, como se ha informado para otras regiones en México. En tanto que el número de tormentas por unidad de área se incrementa con la elevación del terreno, los valores promedios de las propiedades relacionadas con el tamaño (área, volumen, tope del eco) y la intensidad (reflectividad máxima, número de descargas, altura de la reflectividad máxima, máxima altura del contorno de 30 dBZ), disminuyen. Estos resultados podrían vincularse con la posibilidad de que el espesor de la parte de la nube donde ocurren los procesos de lluvia caliente sea menor en terrenos más altos. Los ciclos diurnos de la convección y del número de descargas eléctricas al norte del radar muestran un régimen de precipitación típicamente continental, con máximos a las 18:00 LT en ambas variables. No obstante, al sur del radar el máximo de descargas se detectó cerca de la medianoche, lo cual se relaciona con la convección más profunda que ocurre sobre los terrenos bajos de esa zona durante altas horas de la noche y la madrugada. ABSTRACTRadar data from Cerro Catedral (a peak close to Mexico City) were used to investigate the properties of convective storms over central Mexico, a region with complex orography. The spatial distribution shows a preference for storms to form and move to the west of radar, over a narrow band of high terrain. However, the storms with the higher volumes and echo-top heights tend to be located southwestward over lower terrain. Each radar feature was matched with the number of cloud-to-ground (CG) lightning produced inside it, as retrieved from the World Wide Lightning Location Network dataset. The storms in which lightning was detected, with an average of more than six lightning bolts, clearly outperform in size and intensity the group of storms in which lightning was not detected, and tend to lie over lower terrain. The sample ...

show abstract

Section: Radarmentioning

confidence: 99%

The properties of convective storms in central Mexico: A radar and lightning approach

Novo

Raga

2013

Atmósfera

View full text Add to dashboard Cite

show abstract

“…Radar polar coordinate data were interpolated to a 2 km vertical and horizontal resolution Cartesian grid using the National Center for Atmospheric Research REORDER software (Mohr et al, 1986). The grid extended 130 km in the x and y directions from the radar location listed in Table I.…”

Section: Radar Data and Precipitation Feature Analysismentioning

confidence: 99%

Radar characteristics of continental, coastal, and maritime convection observed during AMMA/NAMMA

Guy

Rutledge

Cifelli

2011

Quart J Royal Meteoro Soc

View full text Add to dashboard Cite

Ground-based radar observations at three distinct geographical locations in West Africa along a common latitudinal band (Niamey, Niger (continental), Kawsara, Senegal (coastal), and Praia, Republic of Cape Verde (maritime)) are analyzed to determine convective system characteristics in each domain during a 29-day period in 2006. Ancillary datasets provided by the African Monsoon Multidisciplinary Analyses (AMMA) and NASA-AMMA (NAMMA) field campaigns are also used to place the radar observations in context. Results show that the total precipitation is dominated by propagating mesoscale convective systems. Convective characteristics vary according to environmental properties, such as vertical shear, CAPE, and the degree of synoptic forcing. Data are bifurcated based on the presence or absence of African easterly waves. In general, African easterly waves appear to enhance mesoscale convective system strength characteristics (e.g. total precipitation and vertical reflectivity profiles) at the inland and maritime sites. The wave regime also resulted in an increased population of the largest observed mesoscale convective systems observed near the coast, which led to an increase in stratiform precipitation. Despite this increase, differentiation of convective strength characteristics was less obvious between wave and no-wave regimes at the coast. Owing to the propagating nature of these advecting mesoscale convective systems, interaction with the regional thermodynamic and dynamic environment appears to result in more variability than enhancements due to the wave regime, independent of location.

show abstract

“…Of course, only radial velocities are observed, so the information will not be complete. We expect to preprocess the Doppler data using NCAR-supplied CEDRIC software (Mohr et al, 1986) to convert the radial components to a Cartesian grid. Since Doppler observations are non-simultaneous, during this step the observations will also be interpolated to be valid at the same time.…”

Section: Adjustment Of Model Radial Velocities To Doppler Measurementsmentioning

confidence: 99%

“…Gal-Chen's technique has now been widely tested and used Gal-Chen and Hane, 1981;Mohr et al, 1986;Hane et al, 1988;Liou, 1989) with generally positive results. However, we believe our application will be one of the first to try to use single Doppler radar data to determine the input wind field to the retrieval.…”

Section: Gal-chen Dynamic Temperature Retrievalmentioning

confidence: 99%

Prediction of Thunderstorm Initiation Through 4-Dimensional Data Assimilation of Doppler Radar Data

Hamill¹

1992

View full text Add to dashboard Cite

The Merger of Mesoscale Datasets into a Common Cartesian Format for Efficient and Systematic Analyses

Cited by 165 publications

References 0 publications

The properties of convective storms in central Mexico: A radar and lightning approach

The properties of convective storms in central Mexico: A radar and lightning approach

Radar characteristics of continental, coastal, and maritime convection observed during AMMA/NAMMA

Prediction of Thunderstorm Initiation Through 4-Dimensional Data Assimilation of Doppler Radar Data

Contact Info

Product

Resources

About