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Dive into the research topics where Katja Friedrich is active.

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Featured researches published by Katja Friedrich.


Bulletin of the American Meteorological Society | 2015

The Great Colorado Flood of September 2013

David J. Gochis; Russ S. Schumacher; Katja Friedrich; Nolan J. Doesken; Matt Kelsch; Juanzhen Sun; Kyoko Ikeda; Daniel T. Lindsey; Andrew W. Wood; Brenda Dolan; Sergey Y. Matrosov; Andrew J. Newman; Kelly M. Mahoney; Steven A. Rutledge; Richard H. Johnson; Paul A. Kucera; P. C. Kennedy; Daniel Sempere-Torres; Matthias Steiner; Rita D. Roberts; James W. Wilson; Wei Yu; V. Chandrasekar; Roy Rasmussen; Amanda Anderson; Barbara G. Brown

AbstractDuring the second week of September 2013, a seasonally uncharacteristic weather pattern stalled over the Rocky Mountain Front Range region of northern Colorado bringing with it copious amounts of moisture from the Gulf of Mexico, Caribbean Sea, and the tropical eastern Pacific Ocean. This feed of moisture was funneled toward the east-facing mountain slopes through a series of mesoscale circulation features, resulting in several days of unusually widespread heavy rainfall over steep mountainous terrain. Catastrophic flooding ensued within several Front Range river systems that washed away highways, destroyed towns, isolated communities, necessitated days of airborne evacuations, and resulted in eight fatalities. The impacts from heavy rainfall and flooding were felt over a broad region of northern Colorado leading to 18 counties being designated as federal disaster areas and resulting in damages exceeding


Journal of Atmospheric and Oceanic Technology | 2006

A Quality Control Concept for Radar Reflectivity, Polarimetric Parameters, and Doppler Velocity

Katja Friedrich; Martin Hagen; Thomas Einfalt

2 billion (U.S. dollars). This study explores the meteorological and hydrological ingredients...


Journal of Atmospheric and Oceanic Technology | 2013

Articulating and Stationary PARSIVEL Disdrometer Measurements in Conditions with Strong Winds and Heavy Rainfall

Katja Friedrich; Stephanie Higgins; Forrest J. Masters; Carlos R. Lopez

Abstract Over the last few years the use of weather radar data has become a fundamental part of various applications like rain-rate estimation, nowcasting of severe weather events, and assimilation into numerical weather prediction models. The increasing demand for radar data necessitates an automated, flexible, and modular quality control. In this paper a quality control procedure is developed for radar reflectivity factors, polarimetric parameters, and Doppler velocity. It consists of several modules that can be extended, modified, and omitted depending on the user requirement, weather situation, and radar characteristics. Data quality is quantified on a pixel-by-pixel basis and encoded into a quality-index field that can be easily interpreted by a nontrained end user or an automated scheme that generates radar products. The quality-index algorithms detect and quantify the influence of beam broadening, the height of the first radar echo, ground clutter contamination, return from non-weather-related obje...


Geophysical Research Letters | 2012

Stability and turbulence in the atmospheric boundary layer: A comparison of remote sensing and tower observations

Katja Friedrich; Julie K. Lundquist; Matthew L. Aitken; Evan A. Kalina; Robert F. Marshall

AbstractThe influence of strong winds on the quality of optical Particle Size Velocity (PARSIVEL) disdrometer measurements is examined with data from Hurricane Ike in 2008 and from convective thunderstorms observed during the second Verification of the Origins of Rotation in Tornadoes Experiment (VORTEX2) in 2010. This study investigates an artifact in particle size distribution (PSD) measurements that has been observed independently by six stationary PARSIVEL disdrometers. The artifact is characterized by a large number concentration of raindrops with large diameters (>5 mm) and unrealistic fall velocities (<1 m s−1). It is correlated with high wind speeds and is consistently observed by stationary disdrometers but is not observed by articulating disdrometers (instruments whose sampling area is rotated into the wind). The effects of strong winds are further examined with a tilting experiment, in which drops are dripped through the PARSIVEL sampling area while the instrument is tilted at various angles, s...


Monthly Weather Review | 2013

Drop-Size Distributions in Thunderstorms Measured by Optical Disdrometers during VORTEX2

Katja Friedrich; Evan A. Kalina; Forrest J. Masters; Carlos R. Lopez

[1]xa0When monitoring winds and atmospheric stability for wind energy applications, remote sensing instruments present some advantages to in-situ instrumentation such as larger vertical extent, in some cases easy installation and maintenance, measurements of vertical humidity profiles throughout the boundary layer, and no restrictions on prevailing wind directions. In this study, we compare remote sensing devices, Windcube lidar and microwave radiometer, to meteorological in-situtower measurements to demonstrate the accuracy of these measurements and to assess the utility of the remote sensing instruments in overcoming tower limitations. We compare temperature and wind observations, as well as calculations of Brunt-Vaisala frequency and Richardson numbers for the instrument deployment period in May–June 2011 at the U.S. Department of Energy National Renewable Energy Laboratorys National Wind Technology Center near Boulder, Colorado. The study reveals that a lidar and radiometer measure wind and temperature with the same accuracy as tower instruments, while also providing advantages for monitoring stability and turbulence. We demonstrate that the atmospheric stability is determined more accurately when the liquid-water mixing ratio derived from the vertical humidity profile is considered under moist-adiabatic conditions.


Bulletin of the American Meteorological Society | 2017

Assessing State-of-the-Art Capabilities for Probing the Atmospheric Boundary Layer: The XPIA Field Campaign

Julie K. Lundquist; James M. Wilczak; Ryan Ashton; Laura Bianco; W. Alan Brewer; Aditya Choukulkar; Andrew Clifton; Mithu Debnath; Ruben Delgado; Katja Friedrich; Scott Gunter; Armita Hamidi; Giacomo Valerio Iungo; Aleya Kaushik; Branko Kosovic; Patrick Langan; Adam Lass; Evan Lavin; Joseph C. Y. Lee; Katherine McCaffrey; Rob K. Newsom; David Noone; Steven P. Oncley; Paul T. Quelet; Scott P. Sandberg; John L. Schroeder; William J. Shaw; Lynn C. Sparling; Clara St. Martin; Alexandra St. Pé

AbstractWhen studying the influence of microphysics on the near-surface buoyancy tendency in convective thunderstorms, in situ measurements of microphysics near the surface are essential and those are currently not provided by most weather radars. In this study, the deployment of mobile microphysical probes in convective thunderstorms during the second Verification of the Origins of Rotation in Tornadoes Experiment (VORTEX2) is examined. Microphysical probes consist of an optical Ott Particle Size and Velocity (PARSIVEL) disdrometer that measures particle size and fall velocity distributions and a surface observation station that measures wind, temperature, and humidity. The mobile probe deployment allows for targeted observations within various areas of the storm and coordinated observations with ground-based mobile radars. Quality control schemes necessary for providing reliable observations in severe environments with strong winds and high rainfall rates and particle discrimination schemes for distingu...


Journal of Applied Meteorology and Climatology | 2011

Relationship between Radar-Estimated Precipitation and Synoptic Weather Patterns in the European Alps

James V. Rudolph; Katja Friedrich; Urs Germann

AbstractTo assess current capabilities for measuring flow within the atmospheric boundary layer, including within wind farms, the U.S. Department of Energy sponsored the eXperimental Planetary boundary layer Instrumentation Assessment (XPIA) campaign at the Boulder Atmospheric Observatory (BAO) in spring 2015. Herein, we summarize the XPIA field experiment, highlight novel measurement approaches, and quantify uncertainties associated with these measurement methods. Line-of-sight velocities measured by scanning lidars and radars exhibit close agreement with tower measurements, despite differences in measurement volumes. Virtual towers of wind measurements, from multiple lidars or radars, also agree well with tower and profiling lidar measurements. Estimates of winds over volumes from scanning lidars and radars are in close agreement, enabling the assessment of spatial variability. Strengths of the radar systems used here include high scan rates, large domain coverage, and availability during most precipita...


Journal of Atmospheric and Oceanic Technology | 2009

Influence of Ground Clutter Contamination on Polarimetric Radar Parameters

Katja Friedrich; Urs Germann; Pierre Tabary

AbstractA 9-yr (2000–08) analysis of precipitation characteristics for the central and western European Alps has been generated from ground-based operational weather radar data provided by the Swiss radar network. The radar-based precipitation analysis focuses on the relationship between synoptic-scale weather patterns and mesoscale precipitation distribution over complex alpine terrain. The analysis divides the Alps into six regions (each approximately 200 × 200 km2 in size)—one on the northern side, two each on the western and southern sides of the Alps, and one in the Massif Central—representing various orographic aspects and localized climates within the radar coverage area. For each region, estimated precipitation rate derived from radar data is analyzed on a seasonal basis for total daily precipitation and frequency of high-precipitation-rate events. The summer season has the highest total daily precipitation for all regions in the study, whereas median values of daily precipitation in winter are le...


Archive | 2004

The State of Weather Radar Operations, Networks and Products

Frank Gekat; P. F. Meischner; Katja Friedrich; Martin Hagen; Jarmo Koistinen; Daniel Michelson; Asko Huuskonen

Abstract The influence of ground clutter contamination on the estimation of polarimetric radar parameters, horizontal reflectivity (Zh), differential reflectivity (Zdr), correlation coefficient (ρhυ), and differential propagation phase (ϕdp) was examined. This study aims to derive the critical level of ground clutter contamination for Zh, Zdr, ρhυ, and ϕdp at which ground clutter influence exceeds predefined precision thresholds. Reference data with minimal ground clutter contamination consist of eight precipitation fields measured during three rain events characterized by stratiform and convective precipitation. Data were collected at an elevation angle of 0.8° by the Meteo-France operational, polarimetric Doppler C-band weather radar located in Trappes, France, ∼30 km southwest of Paris. Nine different ground clutter signatures, ranging from point targets to more complex signatures typical for mountain ranges or urban obstacles, were added to the precipitation fields. This is done at the level of raw in...


Journal of Applied Meteorology and Climatology | 2015

Dual-Polarization Radar Data Analysis of the Impact of Ground-Based Glaciogenic Seeding on Winter Orographic Clouds. Part I: Mostly Stratiform Clouds

Xiaoqin Jing; Bart Geerts; Katja Friedrich; Binod Pokharel

Do you remember the famous cars of the early 1950s, the 2CV and the Volkswagen “Beetle”? They were simple tin boxes with four wheels, four seats, a motor, a steering wheel, and a speedometer. When opening the bonnet, you could recognise nearly every part, you understood all the functions and could handle most shortcomings yourself. How does a modern upper class car look nowadays in comparison? The front panel is like the cockpit of an aircraft and when opening the bonnet, you just may recognise where to fill the water for cleaning your windows. Similarly, weather radar systems developed from microwave devices transmitting radiation pulses and detecting the location and distance of a target by its reflection — RADAR means “RAdiation Detection And Ranging” — to “high tech” systems delivering a number of products of interest for the user. The “targets” we now have in mind are cloud and precipitation particles.

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Evan A. Kalina

University of Colorado Boulder

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Roy Rasmussen

National Center for Atmospheric Research

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Martin Hagen

German Aerospace Center

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Joshua Aikins

University of Colorado Boulder

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David J. Gochis

National Center for Atmospheric Research

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James V. Rudolph

University of Colorado Boulder

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Julie K. Lundquist

University of Colorado Boulder

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Kyoko Ikeda

National Center for Atmospheric Research

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