Operational Aspects of Different Ground-Based Remote Sensing Observing Techniques for Vertical Profiling of Temperature, Wind, Humidity and Cloud Structure: a Review
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Variable Renewable Energy Forecasting System Design and Implementation Plan
VARIABLE RENEWABLE ENERGY FORECASTING SYSTEM DESIGN AND IMPLEMENTATION PLAN USAID ENERGY PROGRAM 4 February 2019 This publication was produced for review by the United States Agency for International Development. It was prepared by Deloitte Consulting LLP. The author’s views expressed in this publication do not necessarily reflect the views of the United States Agency for International Development or the United States Government. VARIABLE RENEWABLE ENERGY FORECASTING SYSTEM DESIGN AND IMPLEMENTATION PLAN USAID ENERGY PROGRAM CONTRACT NUMBER: AID-OAA-I-13-00018 DELOITTE CONSULTING LLP USAID | GEORGIA USAID CONTRACTING OFFICER’S REPRESENTATIVE: NICHOLAS OKRESHIDZE AUTHOR(S): DAVIT MUJIRISHVILI LANGUAGE: ENGLISH 4 FEBRUARY 2019 DISCLAIMER: This publication was produced for review by the United States Agency for International Development. It was prepared by Deloitte Consulting LLP. The author’s views expressed in this publication do not necessarily reflect the views of the United States Agency for International Development or the United States Government. USAID ENERGY PROGRAM VARIABLE RENEWABLE ENERGY FORECASTING SYSTEM DESIGN AND IMPLEMENTATION PLAN i DATA Reviewed by: Valeriy Vlatchkov, Daniel Potash, Ivane Pirveli, Eka Nadareishvili Practice Area: Variable Renewable Energy Forecasting Key Words: Variable Renewable Energy; Forecasting, Procurement of Forecasting Services, Forecasting System Conceptual Design, Implementation Plan USAID ENERGY PROGRAM VARIABLE RENEWABLE ENERGY FORECASTING SYSTEM DESIGN AND IMPLEMENTATION PLAN ii ACRONYMS -
CHAPTER CONTENTS Page CHAPTER 5
CHAPTER CONTENTS Page CHAPTER 5. SPECIAL PROFILING TECHNIQUES FOR THE BOUNDARY LAYER AND THE TROPOSPHERE .............................................................. 640 5.1 General ................................................................... 640 5.2 Surface-based remote-sensing techniques ..................................... 640 5.2.1 Acoustic sounders (sodars) ........................................... 640 5.2.2 Wind profiler radars ................................................. 641 5.2.3 Radio acoustic sounding systems ...................................... 643 5.2.4 Microwave radiometers .............................................. 644 5.2.5 Laser radars (lidars) .................................................. 645 5.2.6 Global Navigation Satellite System ..................................... 646 5.2.6.1 Description of the Global Navigation Satellite System ............. 647 5.2.6.2 Tropospheric Global Navigation Satellite System signal ........... 648 5.2.6.3 Integrated water vapour. 648 5.2.6.4 Measurement uncertainties. 649 5.3 In situ measurements ....................................................... 649 5.3.1 Balloon tracking ..................................................... 649 5.3.2 Boundary layer radiosondes .......................................... 649 5.3.3 Instrumented towers and masts ....................................... 650 5.3.4 Instrumented tethered balloons ....................................... 651 ANNEX. GROUND-BASED REMOTE-SENSING OF WIND BY HETERODYNE PULSED DOPPLER LIDAR ................................................................ -
An LES-Based Airborne Doppler Lidar Simulator and Its Application to Wind Profiling in Inhomogeneous flow Conditions
Atmos. Meas. Tech., 13, 1609–1631, 2020 https://doi.org/10.5194/amt-13-1609-2020 © Author(s) 2020. This work is distributed under the Creative Commons Attribution 4.0 License. An LES-based airborne Doppler lidar simulator and its application to wind profiling in inhomogeneous flow conditions Philipp Gasch1, Andreas Wieser1, Julie K. Lundquist2,3, and Norbert Kalthoff1 1Institute of Meteorology and Climate Research, Karlsruhe Institute of Technology, Karlsruhe, Germany 2Department of Atmospheric and Oceanic Sciences, University of Colorado Boulder, Boulder, CO 80303, USA 3National Renewable Energy Laboratory, Golden, CO 80401, USA Correspondence: Philipp Gasch ([email protected]) Received: 26 March 2019 – Discussion started: 5 June 2019 Revised: 19 February 2020 – Accepted: 19 February 2020 – Published: 2 April 2020 Abstract. Wind profiling by Doppler lidar is common prac- profiling at low wind speeds (< 5ms−1) can be biased, if tice and highly useful in a wide range of applications. Air- conducted in regions of inhomogeneous flow conditions. borne Doppler lidar can provide additional insights relative to ground-based systems by allowing for spatially distributed and targeted measurements. Providing a link between the- ory and measurement, a first large eddy simulation (LES)- 1 Introduction based airborne Doppler lidar simulator (ADLS) has been de- veloped. Simulated measurements are conducted based on Doppler lidar has experienced rapidly growing importance LES wind fields, considering the coordinate and geometric and usage in remote sensing of atmospheric winds over transformations applicable to real-world measurements. The the past decades (Weitkamp et al., 2005). Sectors with ADLS provides added value as the input truth used to create widespread usage include boundary layer meteorology, wind the measurements is known exactly, which is nearly impos- energy and airport management. -
Passive Microwave Radiometer Channel Selection Based on Cloud and Precipitation Information Content Estimation
475 Passive Microwave Radiometer Channel Selection Based on Cloud and Precipitation Information Content Estimation Sabatino Di Michele and Peter Bauer Research Department Submitted to Q. J. Royal Meteor. Soc. July 2005 Series: ECMWF Technical Memoranda A full list of ECMWF Publications can be found on our web site under: http://www.ecmwf.int/publications/ Contact: [email protected] c Copyright 2005 European Centre for Medium-Range Weather Forecasts Shinfield Park, Reading, RG2 9AX, England Literary and scientific copyrights belong to ECMWF and are reserved in all countries. This publication is not to be reprinted or translated in whole or in part without the written permission of the Director. Appropriate non-commercial use will normally be granted under the condition that reference is made to ECMWF. The information within this publication is given in good faith and considered to be true, but ECMWF accepts no liability for error, omission and for loss or damage arising from its use. Microwave Channel Selection from Precipitation Information Content Abstract The information content of microwave frequencies between 5 and 200 GHz for rain, snow and cloud wa- ter retrievals over ocean and land surfaces was evaluated using optimal estimation theory. The study was based on large datasets representative of summer and winter meteorological conditions over North Amer- ica, Europe, Central Africa, South America and the Atlantic obtained from short-range forecasts with the operational ECMWF model. The information content was traded off against noise that is mainly produced by geophysical variables such as surface emissivity, land surface skin temperature, atmospheric temperature and moisture. The estimation of the required error statistics was based on ECMWF model forecast error statistics. -
Raman Lidar for Meteorological Observations, RALMO – Part 1: Open Access Instrument Description Climate Climate of the Past 1 1 2 2 1,3 4 of The1 Past T
EGU Journal Logos (RGB) Open Access Open Access Open Access Advances in Annales Nonlinear Processes Geosciences Geophysicae in Geophysics Open Access Open Access Natural Hazards Natural Hazards and Earth System and Earth System Sciences Sciences Discussions Open Access Open Access Atmospheric Atmospheric Chemistry Chemistry and Physics and Physics Discussions Open Access Open Access Atmos. Meas. Tech., 6, 1329–1346, 2013 Atmospheric Atmospheric www.atmos-meas-tech.net/6/1329/2013/ doi:10.5194/amt-6-1329-2013 Measurement Measurement © Author(s) 2013. CC Attribution 3.0 License. Techniques Techniques Discussions Open Access Open Access Biogeosciences Biogeosciences Discussions Open Access Raman Lidar for Meteorological Observations, RALMO – Part 1: Open Access Instrument description Climate Climate of the Past 1 1 2 2 1,3 4 of the1 Past T. Dinoev , V. Simeonov , Y. Arshinov , S. Bobrovnikov , P. Ristori , B. Calpini , M. Parlange , and H. van den Discussions Bergh5 1 Open Access Laboratory of Environmental Fluid Mechanics and Hydrology (EFLUM), Ecole Polytechnique Fed´ erale´ de Lausanne Open Access EPFL-ENAC, Station 2, 1015 Lausanne, Switzerland Earth System 2 Earth System V.E. Zuev Institute of Atmospheric Optics SB RAS1, Academician Zuev Square, Tomsk, 634021, Russia Dynamics 3Division´ Lidar, CEILAP (UNIDEF-CITEDEF-MINDEF-CONICET), San Juan Bautista de La SalleDynamics 4397 (B1603ALO), Villa Martelli, Buenos Aires, Argentina Discussions 4Federal Office of Meteorology and Climatology MeteoSwiss, Atmospheric Data, P.O. Box 316, 1530 Payerne, Switzerland 5 Open Access Laboratory of Air and Soil Pollution, Ecole Polytechnique Fed´ erale´ de Lausanne EPFL, StationGeoscientific 6, Geoscientific Open Access 1015 Lausanne, Switzerland Instrumentation Instrumentation Correspondence to: V. B. -
The Benefits of Lidar for Meteorological Research: the Convective and Orographically-Induced Precipitation Study (Cops)
THE BENEFITS OF LIDAR FOR METEOROLOGICAL RESEARCH: THE CONVECTIVE AND OROGRAPHICALLY-INDUCED PRECIPITATION STUDY (COPS) Andreas Behrendt(1), Volker Wulfmeyer(1), Christoph Kottmeier(2), Ulrich Corsmeier(2) (1)Institute of Physics and Meteorology, University of Hohenheim, D-70593 Stuttgart, Germany, [email protected] (2) Institute for Meteorology and Climate Research (IMK), University of Karlsruhe/Forschungszentrum Karlsruhe, Karlsruhe, Germany ABSTRACT results of instrumental development within an intensive observations period. How can lidar serve to improve today's numerical Such a field experiment is the Convective and Oro- weather forecast? Which benefits does lidar offer com- graphically-induced Precipitation Study (COPS, pared with other techniques? Which measured parame- http://www.uni-hohenheim.de/spp-iop/) which takes ters, which resolution and accuracy, which platforms place in summer 2007 in a low-mountain range in and measurement strategies are needed? Using the next Southern-Western Germany and North-Eastern France. generation of high-resolution models, a refined model This area is characterized by high summer thunderstorm representation of atmospheric processes is currently in activity and particularly low skill of numerical weather development. Besides higher resolution, the refinements prediction models. COPS is part of the German Priority comprise improved parameterizations, new model phys- Program "Praecipitationis Quantitativae Predictio" ics – including, e.g., the effects of aerosols – and assimi- (PQP, http://www.meteo.uni-bonn.de/projekte/- lation of additional data. As example to discuss the role SPPMeteo/) and has been endorsed as World Weather lidar can play in this context we introduce the Convec- Research Program (WWRP) Research and Development tive and Orographically-induced Precipitation Study Project (Fig. -
Observations of Atmospheric Aerosol and Cloud Using a Polarized Micropulse Lidar in Xi’An, China
atmosphere Article Observations of Atmospheric Aerosol and Cloud Using a Polarized Micropulse Lidar in Xi’an, China Chao Chen 1,2,3,4, Xiaoquan Song 1,* , Zhangjun Wang 1,2,3,4,*, Wenyan Wang 5, Xiufen Wang 2,3,4, Quanfeng Zhuang 2,3,4, Xiaoyan Liu 1,2,3,4 , Hui Li 2,3,4, Kuntai Ma 1, Xianxin Li 2,3,4, Xin Pan 2,3,4, Feng Zhang 2,3,4, Boyang Xue 2,3,4 and Yang Yu 2,3,4 1 College of Information Science and Engineering, Ocean University of China, Qingdao 266100, China; [email protected] (C.C.); [email protected] (X.L.); [email protected] (K.M.) 2 Institute of Oceanographic Instrumentation, Qilu University of Technology (Shandong Academy of Sciences), Qingdao 266100, China; [email protected] (X.W.); [email protected] (Q.Z.); [email protected] (H.L.); [email protected] (X.L.); [email protected] (X.P.); [email protected] (F.Z.); [email protected] (B.X.); [email protected] (Y.Y.) 3 Shandong Provincial Key Laboratory of Marine Monitoring Instrument Equipment Technology, Qingdao 266100, China 4 National Engineering and Technological Research Center of Marine Monitoring Equipment, Qingdao 266100, China 5 Xi’an Meteorological Bureau of Shanxi Province, Xi’an 710016, China; [email protected] * Correspondence: [email protected] (X.S.); [email protected] (Z.W.) Abstract: A polarized micropulse lidar (P-MPL) employing a pulsed laser at 532 nm was developed by the Institute of Oceanographic Instrumentation, Qilu University of Technology (Shandong Academy Citation: Chen, C.; Song, X.; Wang, of Sciences). -
Instruments for Earth Science Measurements
NASA SBIR 2004 Phase I Solicitation E1 Instruments for Earth Science Measurements NASA's Earth Science Enterprise (ESE) is studying how our global environment is changing. Using the unique perspective available from space and airborne platforms, NASA is observing, documenting, and assessing large- scale environmental processes with emphasis on atmospheric composition, climate, carbon cycle and ecosystems, the Earth’s surface and interior, the water and energy cycles, and weather. A major objective of the ESE instrument development programs is to implement science measurement capabilities with small or more affordable spacecraft so development programs can meet multiple mission needs and therefore, make the best use of limited resources. The rapid development of small, low cost remote sensing and in situ instruments is essential to achieving this objective. Consequently, the objective of the Instruments for Earth Science Measurements SBIR topic is to develop and demonstrate instrument component and subsystem technologies that reduce the risk, cost, size, and development time of Earth observing instruments, and enable new Earth observation measurements. The following subtopics are concomitant with this objective and are organized by measurement technique. Subtopics E1.01 Passive Optics Lead Center: LaRC Participating Center(s): ARC, GSFC The following technologies are of interest to NASA in the remote sensing subtopic “passive optics.” Passive optical remote sensing generally requires that deployed devices have large apertures and large throughput. NASA is interested primarily in instrument technologies suitable for aircraft or space flight platforms, and these inherently also prefer low mass, low power, fast measurement times, and a high degree of robustness to survive vibrations in flight or at launch. -
Bi-Directional Domain Adaptation for Sim2real Transfer of Embodied Navigation Agents
IEEE ROBOTICS AND AUTOMATION LETTERS. PREPRINT VERSION. ACCEPTED FEBRUARY, 2021 1 Bi-directional Domain Adaptation for Sim2Real Transfer of Embodied Navigation Agents Joanne Truong1 and Sonia Chernova1;2 and Dhruv Batra1;2 Abstract—Deep reinforcement learning models are notoriously This raises a fundamental question – How can we leverage data hungry, yet real-world data is expensive and time consuming imperfect but useful simulators to train robots while ensuring to obtain. The solution that many have turned to is to use that the learned skills generalize to reality? This question is simulation for training before deploying the robot in a real environment. Simulation offers the ability to train large numbers studied under the umbrella of ‘sim2real transfer’ and has been of robots in parallel, and offers an abundance of data. However, a topic of much interest in the community [4], [5], [6], [7], no simulation is perfect, and robots trained solely in simulation [8], [9], [10]. fail to generalize to the real-world, resulting in a “sim-vs-real In this work, we first reframe the sim2real transfer problem gap”. How can we overcome the trade-off between the abundance into the following question – given a cheap abundant low- of less accurate, artificial data from simulators and the scarcity of reliable, real-world data? In this paper, we propose Bi-directional fidelity data generator (a simulator) and an expensive scarce Domain Adaptation (BDA), a novel approach to bridge the sim- high-fidelity data source (reality), how should we best leverage vs-real gap in both directions– real2sim to bridge the visual the two to maximize performance of an agent in the expensive domain gap, and sim2real to bridge the dynamics domain gap. -
Conclusions Introduction Coherent Doppler LIDAR LIDAR Observation
Improvement of Long Range Doppler LIDARs of TM-SFW0603 Mitsubishi Electric Corporation (MELCO) Ikuya Kakimoto*1, Yutaka Kajiyama*1, Jong-Sung Ha*2, Hong-II Kim*2 *1 Mitsubishi Electric Corporation, 8-1-1 Tsukaguchi Honmachi, Amagasaki-city, 661-8661, Japan *2 Korea Aerospace research Institute, 169-84 Gwahangno, Yuseong-gu, Daejeon, 305-806, Korea Introduction LIDAR observation system linking with Radar Wind measurement is considered as one of the most important issues for Thunderstorm Forecasting System Wind shear detection system the prediction and elucidation of meteorological phenomena. As the formal instrument for wind measurement, ground-based anemometer, radiosonde, Doppler radar and Wind Profiler are utilized so far. However, it is quite difficult to scan the three dimensional (3D) wind field including zenith, and only Doppler radar can be utilized to measure 3D wind speed and direction in the case of rainfall. In recent years, Doppler LIDARs have been developed and it can scan 3-D wind field even in the case of fine weather and is proceeded to be utilized in a variety of fields. Therefore, it is possible to implement all-weather wind measurement with the set of Doppler LIDAR and Doppler radar and this set is much effective to Fig. 6 Wind shear detection system monitor the safety of air at the airport, launch complex and other fields. Fig. 5 Thunderstorm forecasting system Coherent Doppler LIDAR Radars can detect turbulences in The indication of torrential rain can be the rain and LIDAR can do that DIABREZZATM A Series detected 20 min. before by Ka-band. in fine weather. -
N€WS 'RELEASE NATIONAL AERONAUTICS and SPACE Admln ISTRATION 400 MARYLAND AVENUE, SW, WASHINGTON 25, D.C
https://ntrs.nasa.gov/search.jsp?R=19630002483 2020-03-11T16:50:02+00:00Z b " N€WS 'RELEASE NATIONAL AERONAUTICS AND SPACE ADMlN ISTRATION 400 MARYLAND AVENUE, SW, WASHINGTON 25, D.C. TELEPHONES WORTH 2-4155-WORTH. 3-1110 RELEASE NO. 62-182 MARINER SPACECRAFT Mariner 2, the second of a series of spacecraft designed for planetary exploration,- will be launched within a few days (no earlier than August 17) from the Atlantic Missile Range, Cape Canaveral, Florida, by the National Aeronautics and Space Administration. Mariner 1, launched at 4:21 a.m. (EST) on July 22, 1962 from AMR, was destroyed by the Range Safety Officer after about 290 seconds of flight because of a deviation from the planned flight path. Measures have been taken to correct the difficulties experienced in the Mariner 1 launch. These measures include a more rigorous checkout of the Atlas rate beacon and revision of the data editing equation. The data editing equation Is designed as a guard against acceptance of faulty databy the ground guidance equipment. The Mariner 2 spacecraft and its mission are identical to the first Mariner. Mariner 2 will carry six experiments. Two of these instruments, infrared and microwave radiometers, will make measurements at close range as Mariner 2 flys by Venus and communicate this in€ormation over an interplanetary distance of 36 million miles, Four other experiments on the spacecraft -- a magnetometer, ion chamber and particle flux detector, cosmic dust detector and solar plasma spectrometer -- will gather Information on interplantetary phenomena during the trip to Venus and in the vicinity of the planet. -
Meteorological Monitoring Guidance for Regulatory Modeling Applications
United States Office of Air Quality EPA-454/R-99-005 Environmental Protection Planning and Standards Agency Research Triangle Park, NC 27711 February 2000 Air EPA Meteorological Monitoring Guidance for Regulatory Modeling Applications Air Q of ua ice li ff ty O Clean Air Pla s nn ard in nd g and Sta EPA-454/R-99-005 Meteorological Monitoring Guidance for Regulatory Modeling Applications U.S. ENVIRONMENTAL PROTECTION AGENCY Office of Air and Radiation Office of Air Quality Planning and Standards Research Triangle Park, NC 27711 February 2000 DISCLAIMER This report has been reviewed by the U.S. Environmental Protection Agency (EPA) and has been approved for publication as an EPA document. Any mention of trade names or commercial products does not constitute endorsement or recommendation for use. ii PREFACE This document updates the June 1987 EPA document, "On-Site Meteorological Program Guidance for Regulatory Modeling Applications", EPA-450/4-87-013. The most significant change is the replacement of Section 9 with more comprehensive guidance on remote sensing and conventional radiosonde technologies for use in upper-air meteorological monitoring; previously this section provided guidance on the use of sodar technology. The other significant change is the addition to Section 8 (Quality Assurance) of material covering data validation for upper-air meteorological measurements. These changes incorporate guidance developed during the workshop on upper-air meteorological monitoring in July 1998. Editorial changes include the deletion of the “on-site” qualifier from the title and its selective replacement in the text with “site specific”; this provides consistency with recent changes in Appendix W to 40 CFR Part 51.