Composition and Structure, Atmospheric [2010] though the impact of the vortex relocation technique was not investigated in this study. In some cases, however, the replacement of the initial conditions did not improve the prediction even when the ECMWF forecast was accurate. The latest typhoon information for currently active typhoons from Japan Meteorological Agency is mapped on Google Maps and presented as typhoon track forecast map. [10] Comparison of observed TC tracks and the tracks predicted by ECMWF and JMA/GSM showed that TC track prediction was significantly improved by the initial condition replacement (Figures 3a and 3b). Text is available under the Creative Commons Attribution-ShareAlike License; … Although the answer could prove very valuable for improving TC track predictability, these questions have yet to be addressed. [21] 'For other TCs, however, replacement of the initial conditions did not improve track prediction, even though the ECMWF prediction was accurate. Thus it is not entirely clear that our setting of the numerical experiments can accurately separate between TC track prediction errors attributable to the initial conditions and those attributable to the NWP model. Enhanced use of all‐sky microwave observations can be considered superiority of ECMWF over JMA [Bauer et al., 2010, 2011]. and Paleomagnetism, History of (1896-1977), Chinese Journal of Geophysics (2000-2018), International [11] Additional experiments were conducted in which the initial conditions were created by blending the low‐wavenumber component (≤T42, ∼300 km) of the ECMWF analysis with the higher one of the JMA analysis (JM‐EI2). In some cases a northward bias caused a large position error and TEPS could not capture the observed track either. Yamaguchi et al. The position errors of JMA/GSM were reduced by replacing the JMA/GSM initial conditions with those of ECMWF (JM‐EI inFigure 2). RSMC Tokyo-Typhoon Center RSMC Best Track Data (Text) 1951-2020 (ALL) [710 kB] zip compressed 2020 [57 kB] Format of RSMC Best Track Data (Text) 12 UTC 7 Sep. 2018. Part of the 2014 Pacific typhoon season: Tropical Storm Fung-wong, known in the Philippines as Tropical Storm Mario, was a relatively weak tropical cyclone which affected the northern Philippines, Taiwan and the Eastern China. This result shows the importance of the representation of the synoptic environment, which controls the steering flow of TCs. To reduce TC track prediction errors and to improve the accuracy of probabilistic forecasting, the cause of this bias must be identified and the NWP systems, including the EPSs, must be modified to correct the bias. Therefore, we adopted a linear interpolation technique in the vertical direction to create the initial conditions from the YOTC data set. Second, the JMA/GSM was run from the ECMWF initial conditions (hereafter, the JMA model and ECMWF initial conditions: JM‐EI). By continuing to browse this site, you agree to its use of cookies as described in our, Journal of Advances [12] Figures 3c and 3d show the ensemble TC track predictions by the JMA Typhoon EPS (TEPS) [Yamaguchi et al., 2009] for Dujuan and Lupit. Position errors (left vertical axis) from 0 to 5 days of JM‐JI, EM‐EI, and JM‐EI, and the number of samples (right vertical axis). [20] For some TCs, replacement of the initial conditions significantly improved track prediction, and the low wavenumber component (≤T42, ∼300 km) of the ECMWF analysis played a major role in the improved predictions. Past Track: Forecast Track (The color of the symbols above will change with the classification of the tropical cyclone) Low Pressure Area or Extratropical Low : Color. The improvement rate of JM‐EI with respect to JM‐JI was 5%, 11%, 9%, 11%, and 15% on days 1 to 5, respectively. Thus it can be inferred that the errors come from the model and the error trend is a bias associated with the model. In some cases, however, the replacement of the initial conditions did not improve the prediction even when the ECMWF forecast was accurate. [14] In the TEPS predictions of the tracks of Morakot and Parma (Figures 4c and 4d, respectively), all ensemble members showed a northward bias and failed to predict the observed landfall. The colour represents the storm's maximum sustained wind speeds as classified in the Saffir–Simpson scale (see below), and the shape of the data points represent the nature of the storm, according to the legend below. Old. These two ensemble cases imply that TEPS can successfully express the uncertainties of the TC track predictions when they are sensitive to initial conditions. The number 7 in red is for typhoon Morakot and Parma, which moved toward the west‐northwest to the east of Taiwan and the Philippines, respectively. First, the JMA/GSM was run from the initial conditions created during a 6‐hourly data assimilation cycle of the 4DVAR to obtain the reference track predictions (hereafter, the JMA model and JMA initial conditions: JM‐JI). Ensemble track predictions by JMA, ECMWF, CMC, and UKMO and the observed track for Typhoon Conson, initiated at 1200 UTC on 12 July 2010. Position errors of 1‐ to 5‐day TC track predictions of the unperturbed EPS control member from the Bureau of Meteorology in Australia (BOM), the Chinese Meteorological Administration (CMA), the Canadian Meteorological Centre (CMC), the Center for Weather Forecasts and Climate Studies in Brazil (CPTEC), the European Centre for Medium‐Range Weather Forecasts (ECMWF), the Japan Meteorological Agency (JMA), the Korean Meteorological Administration (KMA), the National Center for Environmental Prediction in the U.S. (NCEP), and the U.K. Met Office (UKMO). A typhoon database that offers text search by date, name, location and image search by cloud patterns on the comprehensive archive of 200,000+ typhoon (tropical cyclone) images for the past 40 years. Ensemble track predictions by JMA, ECMWF, CMC, and NCEP and the observed track for Typhoon Nanmadol, initiated at 1200 UTC on 24 August 2011. The resolution of the JMA/GSM used in this study was TL319L60, although that of the operational system is TL959L60. We also thank Carolyn Reynolds of the Naval Research Laboratory for reviewing an early version of the paper and Hitoshi Yonehara, Masayuki Kyouda, Akira Shimokoube, and Takuya Komori of the Numerical Prediction Division at JMA for their assistance in creating the JMA/GSM initial conditions from the ECMWF analysis. The initial conditions are thought to be essential for accurate predictions in cases where the prediction is significantly improved by replacement of the original initial conditions. [6] This paper is organized as follows. (c and d) The TEPS track predictions by for Morakot and Parma, respectively, for the same initial times. JMA. Part I: Implementation, Satellite cloud and precipitation assimilation at operational NWP centres, The THORPEX interactive grand global ensemble, Dynamical tropical cyclone track forecast errors. Naval Research Laboratory This page was last edited on 21 June 2020, at 00:18 (UTC). (2017, submitted to BAMS) WGNE Intercomparison of TC Forecasts by Operational NWP Models. Whereas the original TC track predictions by JMA/GSM with JMA's initial conditions had large prediction errors, TEPS, which uses the singular vector method to address initial condition uncertainties, captured the observed tracks. Please note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors. The horizontal resolution of T42 was equal to that of the ensemble initial perturbations in the ECMWF EPS. Naval Research Laboratory; Gary Pagdett's Monthly Global Tropical Cyclone Summary Last edited on 14 January 2021, at 20:36. Next post » Leave a Reply Cancel reply. The imagery was developed on the basis of collaboration between the JMA Meteorological Satellite Center and the NOAA/NESDIS/STAR GOES-R Algorithm Working Group imagery team. in Modeling Earth Systems (JAMES), Perspectives of Earth and Space Scientists, Journal of Geophysical Research Selected Presentations. TYPHOON TRACK BY JMA Latest track of current typhoon/s in Western Pacific. The source of the ECMWF's analysis data is the Year of Tropical Convection (YOTC) data set. Details are refer to "RGB Training Library (JMA website)". The replacement of the initial conditions improved both the timing of the recurvature and the subsequent movement speed, reducing the error to 122 km. [15] The northward bias is not unique to TEPS; the same bias is seen in ensemble predictions of other major NWP centers (Figures S1 and S2 in the auxiliary material). Typhoon Meranti, known in the Philippines as Typhoon Ferdie, was one of the most intense tropical cyclones on record. The uncertainties in the NWP model were not considered in TEPS. [13] Figures 4a and 4bshow two examples where replacement of the initial conditions did not improve TC track prediction even though the EM‐EI position error was small. Typhoon forecasts from other organizations can be found at, Typhoon Information - Japan Meteorological Agency (JMA) and U.S. Navy Joint Typhoon Warning Center (JTWC), Weather Warnings and Advisories, Weather Forecast, and Typhoon Forecast, Real-time Weather Radar GPV Images (on Google Maps), World-wide Real-time Wind Maps (JMA Numerical Weather Prediction GPV Data), Real-time AMeDAS Precipitation Ranking (on Google Maps), Real-time AMeDAS Wind Maps (on Google Maps), AMeDAS Event Detection (Automatic Detection of Heavy Rains and Strong Winds) (on Google Maps), Forecast Accuracy (Forecast Circle, Forecast Error). Right clicking markers shows only wind circles but not information window. [16] Although both ECMWF and JMA use 4DVAR for their data assimilation scheme, the differences of their initial conditions are large enough to yield prediction cases as have been shown in Figure 3. Typhoon Haiyan hit the eastern part of the Philippines on 8th November, following a track heading towards the West Philippine Sea (South China Sea), crossing the majority of the Visayas region at a speed of 40.7 kph (22 knots) . Typhoon tracking charts of this year's typhoons are first made from tropical cyclone information provided by JMA, and later updated again based on the best track data reanalyzed by JMA. JMA started an operation of a new EPS, the Typhoon EPS, in February 2008, aiming to improve both deterministic and probabilistic TC track forecasts. Track Forecasts. and Chemical Oceanography, Physical Geophysics, Geomagnetism The eighth named storm and the second typhoon of the annual typhoon season, Neoguri developed into a tropical storm on July 3 and then a typhoon on July 4.It rapidly deepened on July 5, reaching peak intensity late on July 6. Figure S2. Track predictions by JM‐JI, EM‐EI, and JM‐EI and the observed track for (a) Typhoon Morakot, initiated at 1200 UTC on 4 August 2009, and for (b) Typhoon Parma, initiated at 1200 UTC on 30 September 2009. were captured by the JMA Typhoon Ensemble Prediction System (TEPS), which deals with initial condition uncertain-ties. The genesis model is created by fitting distributions to the location (latitude and longitude) and intensity (central pressure) data for the genesis locations of typhoons in the historical records. In both cases JM‐JI showed a northward bias and failed to predict the landfalls. In the case of Lupit, some ensemble members were successful in predicting the recurvature of Lupit though the unperturbed control member was not able to predict the recurvature like the JM‐JI prediction. [7] In this study, we used the JMA's global forecasting system, which consists of the 4‐dimensional variational (4DVAR) data assimilation scheme and the JMA/GSM [Japan Meteorological Agency, 2007]. The authors thank the people constructing and maintaining the portals of the Year of Tropical Convection (YOTC) data set and The Observing System Research and Predictability Experiment (THORPEX) Interactive Grand Global Ensemble (TIGGE) for making them useful and user‐friendly and providing the analysis and forecast data of the operational NWP centers. Learn more. Tropical cyclone track forecast errors 16 Atlantic North-Eastern Pacific Southern Hemisphere with bogus JMA-Best Track 6/21/2013 - 9/11/2013 without bogus It implies that no matter how the initial conditions are perturbed, the observed track cannot be captured when the prediction error is attributed to the NWP model. NCEP. The position errors of the European Centre for Medium‐range Weather Forecasts (ECMWF) are the smallest among the nine major NWP centers for prediction periods of 1 to 5 days. The predictions of the ECMWF model and its initial conditions (hereafter, EM‐EI) were obtained from the TIGGE database, which provides the forecast fields of the ECMWF high‐resolution deterministic forecasting system as well as those of the EPS. Learn about our remote access options, Meteorological Research Institute of the Japan Meteorological Agency, Tsukuba, Japan, World Meteorological Organization, Geneva, Switzerland. Typhoon Morakot (Figure 4a) made landfall in Taiwan, where it caused torrential rainfall and catastrophic damage. This is the question naturally arising from this study. This separation is achieved by running one NWP model from the initial conditions of another NWP system with higher prediction performance. [17] For the prediction cases shown in Figure 4, we cannot eliminate the possibility that the initial conditions affect the results because the YOTC data set only has 25 vertical levels, far less than the ECMWF or JMA models. Geophysics, Marine Auxiliary material files may require downloading to a local drive depending on platform, browser, configuration, and size. We would like to acknowledge them for the collaboration and their permission to use the software. Using the RSMC Tokyo’s best track data during the same period as the hindcast years, calculate the average number of TC genesis in reality (see black dots) BOM. The difference between JM‐JI and JM‐EI was statistically significant at the 90% level on days 4 and 5. If you do not receive an email within 10 minutes, your email address may not be registered, The YOTC data set provides not only analysis and forecast data from the ECMWF high‐resolution NWP system but also physical parameters such as temperature changes associated with both shallow and deep convection. Processes, Information Meanwhile, we may gain insight into modifications that will improve an NWP model by analyzing those cases where replacing the initial conditions with those of another NWP system yielding accurate predictions does not reduce the prediction error in the assessed model. TCs of tropical depression intensity at the initial time were not included in the verification, but if the TC intensity was reduced to tropical depression status during the prediction period (up to 5 days), the prediction was verified, including the times when the TC was categorized as a tropical depression. Section 2 describes the data used in this study and the method used to create the initial conditions for JMA/GSM from the ECMWF analysis data. TEPS is composed of 11 integrations with a TL319L60 global model and operated for TCs in the western North Pacific and South China Sea. TEPS has 11 members, and the ensemble initial perturbations were created by the singular vector method. Only TCs that were of tropical storm or stronger intensity at the initial time were selected for verification. Another verification shows that the performance of new model for detection of cyclone existence is better than that of old model. [18] In what conditions does the initial uncertainty dominate the model error? Small Bodies, Solar Systems and Petrology, Exploration A purple circle represents a probability circle, in which the center of the typhoon is expected to be observed at the time of forecast with the probability of 70%, while a red and yellow circle represents the 50-knot and 30-knot wind circle, respectively, and those circles are initially shown at the latest location (current location) of the typhoon, but can be shown for other times by left clicking markers. … The analysis verified 58 TCs that occurred in the western North Pacific between 2008 and 2010. Moreover, the northward bias remained even after replacement of the initial conditions with the ECMWF initial conditions. Impacting the Batanes in the Philippines, Taiwan, as well as Fujian Province in September 2016, Meranti formed as a tropical depression on September 8 near the island of Guam.Tracking to the west northwest, Meranti gradually intensified until September 11, at which point … Besides the separation of the two error sources, the initial conditions and the NWP model, is helpful from a standpoint of developing the NWP system since developers of initial conditions can avoid spending much of their time in trying to improve prediction cases where the NWP model is considered as a major error source, and vice versa. Typhoon2000 Typhoon Track JTWC Typhoon Track JMA Typhoon Track Joint Research Centre - EU Typhoon Track Tropical Storm Risk Track Hong Kong Weather Watch Typhoon TracksMulti-Agency Track>Multi-Independent Agency Track Worldwide Typhoon Track >Source: andrew.rsmas.miami.edu Source: TropicalStormRisk.COM This result implies that TEPS successfully expressed the uncertainties of TC track predictions that were sensitive to the initial conditions. Yamaguchi, M., 2019: Recent Research and Development at JMA to Improve Typhoon Forecasts, The International Workshop on Tropical Cyclone Ocean Interaction in the Northwest Pacific 2019, June 2019. The predictions were initiated at 1200 UTC only. Although the theories of TC motion might have reached a satisfactory level, our knowledge on the source of prediction errors is still poor [Carr and Elsberry, 2000a, 2000b]. In reality, however, significant prediction errors still exist and there are prediction cases where the position error can exceed 1000 km over 3 days. Typhoon Parma (Figure 4b) made landfall in the Philippines and added to the damage caused by Typhoon Ketsana, which had struck the previous week. The Regional Specialized Meteorological Center (RSMC) Tokyo - Typhoon Center provides information on tropical cyclones in the western North Pacific and the South China Sea,including present and forecast positions as well as the movement and intensity of tropical cyclones. For these two TCs, addressing only the initial condition uncertainties was not sufficient to capture the observed track, and for better probabilistic predictions, a method for addressing uncertainties associated with the NWP model would be needed. Objects, Solid Surface Geophysics, Biological Additional file information is provided in the readme.txt. Identifying the cause of this bias and modifying NWP systems including EPSs will improve the accuracy of TC track prediction from both deterministic and probabilistic perspectives. This raises the following questions: would it be possible to reduce the position errors of the NWP models by running them from the ECMWF initial conditions and by how much? Geology and Geophysics, Physical [22] NWP models still make significant prediction errors and the causes of these prediction errors are poorly understood. The method to create initial perturbations is based on a singular vector (SV) method, but a method to … Given that TCs are in the data‐sparse oceanic environment, the differences of the NWP models between ECMWF and JMA can be one of the major sources producing the differences of the initial conditions. [1993] and Hsiao et al. Position errors in the along‐track and cross‐track directions for 3‐day predictions. To download, Right‐click and select “Save Target As……” (PC) or CTRL‐click and select “Download Link to Disk” (Mac). For this purpose, we considered 16 TCs that evolved in the western North Pacific basin from August to November 2009. Content is available under CC BY-SA 3.0 unless … In some cases, however, the replacement of the initial conditions did not improve the prediction even when the ECMWF forecast was accurate. Moreover, there is a possibility that the boundary conditions such as the sea surface temperature may affect the results. International Workshop on Advancement of Typhoon Track Forecast Technique Date: 30 November (Mon.) According to Chan [2010], since Chan et al. The triangles are plotted along each track every 24 hours. Typhoon forecasts from other organizations can be found at Typhoon Information - Japan Meteorological Agency (JMA) and U.S. Navy Joint Typhoon Warning Center (JTWC). The Tokyo Typhoon Center is one of WMO’s longest-established Regional Specialized Meteorological Centres. Figure S3. [24] The Editor thanks the two anonymous reviewers for assisting with the evaluation of this paper. Physics, Comets and [3] In general, it is difficult to distinguish between prediction errors attributable to the initial conditions from those attributable to the NWP model, although recent research projects such as The Observing System Research and Predictability Experiment (THORPEX) have made it possible to separate these two causes to some extent. Comparison of Total Column Water Vapor around TC center . Locations of assimilated MW radiance data. In addition, the ensemble spread was relatively small, which might lead the user to mistakenly infer a small prediction error. The sixteenth named storm of the 2014 typhoon season, Fung-wong caused severe flooding in Luzon, especially Metro Manila. In addition, the initial location of TCs may play an important role in better TC track predictions as studied by Kurihara et al. [23] The authors thank two anonymous reviewers for thoughtful reviews and constructive comments. Keynote Presentations (for Japanese public, with translation) 09:30 - 09:40 Opening Kunio Sakurai / JMA . Track predictions by JM‐JI, EM‐EI, JM‐EI, and JM‐EI2 and the observed track for (a) Typhoon Dujuan, initiated at 1200 UTC on 5 September 2009, and (b) Typhoon Lupit, initiated at 1200 UTC on 21 October 2009. The different numbers shown in the plots mean the different directions of the movement of the observed TC tracks. New. Part II: Midlatitude circulation influences, Tropical cyclone movement and surrounding flow relationships, Relationship between potential vorticity tendency and tropical cyclone motion, Advances in tropical cyclone motion prediction and recommendations for the future, Track and structure forecasts of tropical cyclones, A vortex relocation scheme for tropical cyclone initialization in advanced research WRF, Outline of the operational numerical weather prediction at the Japan Meteorological Agency, Appendix to WMO Technical Progress Report, An initialization scheme of hurricane models by vortex specification, Typhoon Ensemble Prediction System developed at the Japan Meteorological Agency, 10.1175/1520‐0434(2000)015<0641:DTCTFE>2.0.CO;2, 10.1175/1520‐0434(2000)015<0662:DTCTFE>2.0.CO;2, 10.1175/1520‐0493(1982)110<1354:TCMASF>2.0.CO;2, 10.1175/1520‐0469(2002)059<1317:RBPVTA>2.0.CO;2, http://www.jma.go.jp/jma/jma‐eng/jma‐center/nwp/outline‐nwp/index.htm, 10.1175/1520‐0493(1993)121<2030:AISOHM>2.0.CO;2. [4] Figure 1 shows the verification results of TC track predictions in the western North Pacific from 2008 to 2010 using the track predictions of the unperturbed control member of the ensemble prediction system (EPS) in the THORPEX Interactive Grand Global Ensemble (TIGGE) [Bougeault et al., 2010] data set. Hopefully we will run the ECMWF model with the JMA initial conditions in the future in order to better understand the initial condition uncertainty and the model error. In addition, the observed tracks were captured by the JMA Typhoon Ensemble Prediction System (TEPS), which deals with initial condition uncertainties. Through analysis of the TIGGE data set we found that a northward bias, especially east of the Philippines, is a problem not only at JMA but also at other major NWP centers. Typhoon Neoguri (pronounced [nʌ.ɡu.ɾi]), known in the Philippines as Typhoon Florita, was a large and powerful tropical cyclone which struck Japan in 2014. The uncertainties in the timing of the recurvature of Dujuan were well represented by the ensemble members, and TEPS succeeded in predicting that the representation of the westerly jet might cause the position error to become large in the along‐track direction. [1] The JMA's Global Spectral Model (JMA/GSM) was run from the initial conditions of ECMWF, which are available in the YOTC data set, to distinguish between TC track prediction errors attributable to the initial conditions and those attributable to the NWP model. The RGB composite imagery is produced by composing satellite images colored in red, green and blue. Chairperson Hitoshi Takada / NHK Weather … Best track. Journal of Geomagnetism and Aeronomy, Nonlinear Share this: Twitter; Facebook; Like this: Like Loading... Related. Figure S3shows the position errors in the along‐track and cross‐track directions for 3‐day predictions. As such, both the Japan Meteorological Agency (JMA) and Joint Typhoon Warning Center (JTWC) classified the storm system as a tropical depression at 0000 UTC on April 9. [9] The verification results of the TC track position errors from 0 to 5 days by JM‐JI, EM‐EI, and JM‐EI (Figure 2) show that the difference between JM‐JI and EM‐EI is similar to that seen in the verification of TCs over 3 years (Figure 1); that is, EM‐EI position errors were smaller than the JM‐JI errors with a lead time of one day. [19] JMA's global spectral model (JMA/GSM) was run using the ECMWF initial conditions to assess the sensitivity of TC track prediction to changes in the initial conditions and to distinguish between prediction errors attributable to the initial conditions from those attributable to the NWP model. Pacific and South China Sea the link below to share a full-text version of this paper model and for... 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