[1]

Sendai Monitor. 2023. Sendai Framework for Disaster Risk Reduction. https://sendaimonitor.undrr.org (Accessed 15 March 2023).

[2]

ITU. 2019. Disruptive technologies and their use in disaster risk reduction and management. Technical Report. The International Telecommunication Union, Geneva, Switzerland. www.itu.int/en/ITU-D/Emergency-Telecommunications/Documents/2019/GET_2019/Disruptive-Technologies.pdf (Accessed on 25 January 2023).

[3]

Everbridge. 2022. Public early warning systems for all. Technical Report. Everbridge, Los Angeles, USA. www.everbridge.com/wp-content/uploads/2023/01/Gov-WP-PublicEarlyWarningSystemsforAll-230112-A4.pdf (Accessed on 8 February 2023).

[4]

Committee on Data - International Science Council (CO-DATA). 2022. Webinar on Domino Effect: Cascading disasters and lessons from the Tonga eruption and tsunami. https://codata.org/webinar-domino-effect-cascading-disasters-and-lessons-from-the-tonga-eruption-and-tsunami/ (Accessed 10 April 2023).

[5]

UN Office for Disaster Risk Reduction (UNDRR). 2019. Disaster Risk Reduction in Mongolia. Status Report. UN Office for Disaster Risk Reduction, Bangkok, Thailand. www.preventionweb.net/files/68255_682305mongoliadrmstatusreport.pdf (Accessed on 12 January 2022).

[6]

UNDRR, UNESCO-IOC. 2019. Limitations and challenges of early warning systems: A case study of the 2018 Palu-Donggala Tsunami. Analysis Report. UN Office for Disaster Risk Reduction and UN Educational, Scientific and Cultural Organization, Jakarta, Indonesia. https://reliefweb.int/report/indonesia/limitations-and-challenges-early-warning-systems-case-study-2018-palu-donggala (Accessedon 25 January 2023)

[7]

Choy S, Bai YB, Zlatanova S, Diakite A, Rubinov E, et al. 2020. Australia-Japan QZSS Emergency Warning Service Trial Project. Proc. 13th GeoInformation for Disaster Management conference, Sydney, Australia (online), 30 November–4 December 2020, Vol. XLIV-3/W1-2020. Germany: Copernicus Publications. pp. 21–28. https://doi.org/10.5194/isprs-archives-XLIV-3-W1-2020-21-2020 (Accessed on 12 January 2022).

[8]

Gopalakrishnan R, Kibe S. 2010. GNSS and Applications in Disaster Management. https://un-spider.org/sites/default/files/Presentations%20NIDM-UNOOSA%20workshop%20-GNSS.pdf (Accessed 10 January 2022).

[9]

Shimazu K, Makabe K, Nishii N, Mori R, Harada N, et al. 2020. Emergency Warning Services via GNSS Signals. Proc. 2020 IEEE Aerospace Conference, Big Sky, MT, USA, 7–14 March 2020. USA: IEEE. pp. 1–16. https://doi.org/10.1109/AERO47225.2020.9172377

[10]

Kogure S. 2021. Introduction to Michibiki and EWS. Status Report. Quasi-Zenith Satellite System, Tokyo, Japan. https://home.csis.u-tokyo.ac.jp/~dinesh/WRC/GNSS_Symposium_Nepal%20QZSS.pdf

[11]

QZSS. 2022. Satellite Report for Disaster and Crisis Management (DC Report). Technical Report. Quasi-Zenith Satellite System, Japan. https://qzss.go.jp/en/overview/services/sv08_dc-report.html (Accessed on 8 January 2022).

[12]

Suzuki K. 2021. Introducing Satellite-based Early Warning Platform. Proc. Asian Conference on Disaster Reduction (ACDR) 2021, Online Conference, 2021. https://acdr.adrc.asia/meeting/section/5/25 (Access on 8 January 2022).

[13]

GNSS Asia. 2021. Japan's plans to expand CLAS coverage and to launch Early Warning Service overseas. Technical Report. QZSS Business Innovation Council, Japan. https://gnss.asia/blog/japan-clas-ews/ (Accessed on 8 January 2022).

[14]

Ahsan N, Takeuchi K, Vink K, Ohara M. 2016. A Systematic Review of the Factors Affecting the Cyclone Evacuation Decision Process in Bangladesh. Journal of Disaster Research 11(4):742−53

doi: 10.20965/jdr.2016.p0742
[15]

CPP. 2021. History of Cyclone Preparedness Programme (CPP). www.cpp.gov.bd/site/page/7bd9cae0-55b4-41cd-a3fb-776243dcd068/- (Accessed 10 January 2022).

[16]

Ahsan N, Khatuna A, Islam S, Vink K, Ohara M, et al. 2020. Preferences for improved early warning services among coastal communities at risk in cyclone prone south-west region of Bangladesh. Progress in Disaster Science 5:100065

doi: 10.1016/j.pdisas.2020.100065
[17]

Rahman SA. 2021. ADRC Survey Respondent from Bangladesh.

[18]

Roy C, Sarkar SK, Aberg J, Kovordanyi R. 2015. The current cyclone early warning system in Bangladesh: Providers' and receivers' views. International Journal of Disaster Risk Reduction 12:285−99

doi: 10.1016/j.ijdrr.2015.02.004
[19]

CFE-DM (Ed). 2020. Bangladesh Disaster Management Reference Handbook. Center for Excellence in Disaster Management & Humanitarian Assistance, Bangladesh. Asia. www.cfe-dmha.org/LinkClick.aspx?fileticket=htNyxly-nB0%3d&portalid=0 (Accessedon 11 February 2022).

[20]

GCF. 2019. Building Resilience to High-Impact Hydro meteorological Events through the Strengthening of Multi-Hazard Early Warning Systems in Bhutan. Project Report. World Wildlife Fund, Inc. Bhutan. www.greenclimate.fund/document/building-resilience-high-impact-hydro-meteorological-events-through-strengthening-multi (Accessed 10 January 2022).

[21]

NCHM. 2013. Glacial Lake Outburst Flood (GLOF). www.hydromet.gov.bt/?q=22 (Accessedon 11 February 2022).

[22]

Managing Climate Risk Org (MCRO). 2020. Glacial Lake Outburst Flood (GLOF) Risk Reduction in the Himalayas. https://managingclimaterisk.org/glacial-lake-outburst-floods-himalayas/ (Accessed 8 January 2022).

[23]

UNDP. 2012. Glacial Lake Outburst Flood (GLOF): Reducing Risk and Ensuring Preparedness. Proc. Proceedings of International GLOF Conference, Hotel Olathang, Paro, Bhutan, 5−7 December, 2012. https://info.undp.org/docs/pdc/Documents/BTN/Proceeding%20of%20International%20GLOF%20Conference%20_Dec%202013%20Paro.pdf (Accessed 11 February 2022).

[24]

NCHM. 2021. Standard Operating Procedure (SOP) for GLOF Early Warning System Punakha-Wangdue Valley. Thimphu, Bhutan. www.nchm.gov.bt/attachment/ckfinder/userfiles/files/Final%20SOP.pdf (accessed 11 February 2022).

[25]

Tshering N. 2021. ADRC Survey Respondent from Bhutan.

[26]

NCHM. 2019. Science Seminar on Climate Change-induced Risks and Vulnerabilities of Glacial Lake Outburst Floods (GLOFs). Climate change-induced risks and vulnerabilities of Glacial Lake Outburst Floods. Punatsang Chhu Cottages, Wangdue Phodrang, 2019. www.nchm.gov.bt/attachment/ckfinder/userfiles/files/Seminar%20Proceedings%20Nov%2026%202019.pdf (Accessed on 10 March 2022).

[27]

Nagai H, Ukita J, Narama C, Fujita K, Sakai A, et al. 2017. Evaluating the scale and potential of GLOF in the Bhutan Himalayas using a satellite-based integral Glacier–Glacial Lake Inventory. Geosciences 7(3):77

doi: 10.3390/geosciences7030077
[28]

FAO. 2018a. Mongolia, Impact of Early Warning Early Action. Technical Report. Licence: CC BY-NC-SA 3.0, Food and Agriculture Organization of the United Nations, Rome. IGO. www.fao.org/3/ca2181en/CA2181EN.pdf (Accessed on 11 February 2022).

[29]

FAO. 2018b. Early action against dzud safeguards herders' livelihoods in Mongolia. www.fao.org/in-action/kore/publications/publications-details/en/c/1295686/ (Accessed on 10 January 2022).

[30]

Patrick K. 2017. Nomads no more: why Mongolian herders are moving to the city. www.theguardian.com/world/2017/jan/05/mongolian-herders-moving-to-city-climate-change (Accessed on 8 January 2022).

[31]

Asia Pacific Climate Change Adaptation Information Platform (AP-PLAT). 2022. Early warning system for massive livestock mortality in Mongolia. https://ap-plat.nies.go.jp/case_study/Mongolia01/index.html (Accessed on 15 February 2022).

[32]

CFE-DM (Ed). 2018. Mongolia Disaster Management Reference Handbook. Center for Excellence in Disaster Management & Humanitarian Assistance. Hawaii. www.cfe-dmha.org/LinkClick.aspx?fileticket=I2wEaLRFB6I%3d&portalid=0 (accessed on 14 January 2022).

[33]

Shaazan, A. 2021. ADRC Survey Respondent from Mongolia.

[34]

Davaadorj A, Erdenetsetseg B, Elbegjargal N, Oyunjargal L. 2017. Dzud Early Warning System Over Mongolia. Proc. 5th Session of the EASCOF, 8-10 November, 2017, Tokyo, Japan. https://ds.data.jma.go.jp/tcc/tcc/library/EASCOF/2017/P3-4.pdf (Accessed on 11 January 2022).