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A close eye on the weather

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Diagram showing the network of weaher observations, including automatic weather stations, radars and  satellites.

We all look out the window to see what the weather is up to. In a similar way, MetService meteorologists are always checking to make sure what they have predicted is actually happening.

The forecasters may not be examining the skies themselves every few minutes, but they are monitoring a network of instruments across Aotearoa New Zealand, including those sited on our sub-tropical and sub-Antarctic islands, which are constantly feeding back crucial information to the National Forecasting Centre.

Wind direction, wind speed, air temperature, humidity, rainfall, air pressure, cloud, and visibility, etc. – all these observations and data help build a picture of what is going on. But they can’t just be measured from anywhere.

For example, temperature readings taken above or next to a concrete or asphalt surface in a confined space will read several degrees higher than those taken in a grassy location which is better ventilated. While those exaggerated temperatures may be a true reflection of that super-heated spot, they do not represent those of the entire neighbourhood.

Accurate and reliable weather observations that are consistent with the standards of the World Meteorological Organization from around the motu are the bedrock on which good forecasts are based. MetService has a dedicated team who ensure that all our automatic weather stations operate to world standards, and that the observations from our observing network are quality controlled and delivered reliably to the forecasters. 

Precise observations do more than tell meteorologists if the weather is unfolding as they had forecast in a certain situation. They are essential as an input to start the computer models which use complex mathematical equations to predict how weather systems will move, form and decay. In other words, the observations are critical to describe the weather now so that models can accurately step forward in time providing our forecasts and warnings. Most importantly the data keeps the computer weather models ‘true’ and in line with what is actually happening with the weather.

 

Thinking in 3D

We know the Earth’s atmosphere is not two-dimensional, which means observations of temperature, wind and air pressure are not just needed from the surface of the Earth but also right up through the lowest slice of the atmosphere, known as the troposphere, which contains nearly all of our weather.

At Aotearoa New Zealand’s latitude, the troposphere reaches an altitude of about 12km above the surface. Within this layer, large weather balloons carrying radiosonde equipment take regular measurements during their ascent. MetService operates four upper-air sounding stations, at Invercargill, Paraparaumu, and Auckland and one in the Kermadec Islands 1000km northeast of Auckland where these balloons are released once or twice a day.

Pilots flying aircraft at high altitude also pass on observations of wind, temperature, and turbulence to assist meteorologists with their predictions.

Even higher up, weather satellites provide important measurements of moisture and temperature in the atmosphere. MetService meteorologists have access to data from the Japanese geostationary satellite Himawari-8 which effectively provides a photo from space every 10 minutes, so they can see how weather systems develop and move.

 

On the ground and at sea

MetService has an extensive weather radar network of 10 radars, from Kerikeri in the north to Invercargill in the south. Radars are extremely useful tools for monitoring the movement and intensity of rain, hail, and snow, and are particularly valuable when lives are at risk from severe thunderstorms or for immediate information of rainfall rates in an area with no surface observation. Radars are also vital when tracking a severe thunderstorm cell when the heavy downpours from it could cause flooding.

To complement radar information, forecasters use observations from Transpower’s National Lightning Detection Network to pinpoint where lightning from the severe thunderstorms reaches the ground.

It’s not only the land and the sky which MetService has covered. Ships which travel around our coasts and to and from Aotearoa send through useful observations of the weather conditions out at sea. And a network of drifting buoys in the Tasman Sea provides vital data on developing systems before they reach our shores.

 

Our observations

Until a few decades ago, surface observations were made manually by people around the country, on farms, at airports, in lighthouses and the like. Some of MetService’s stations have been in operation for more than 100 years – the longer a consistent record the better from a climatological perspective.

Now, most observations come from more than 220 automatic weather stations (AWS) in all corners of Aotearoa New Zealand, which provide data every 60 seconds and are extremely efficient, operating more than 99% of the time. In addition to being used by weather forecasters, data from these stations also feed into the National Climate Database.

As well as operating its own AWS network MetService also partners with other organisations that have networks of stations.  MetService also has more than 50 AWS units monitoring road conditions for Waka Kotahi on our state highways and provides Airways Corporation with airport weather conditions at airport control towers across the country.

As well as the observations keeping meteorologists up to date with what they are dealing with, they assess how well the global computer models are performing in the Aotearoa New Zealand region.

We need you!

There’s one other source of weather observations we haven’t covered yet – you! Public feedback and photos via social media and the WOW observations, where members of the public with weather stations can add the information to the WOW map on the MetService website, are extremely helpful.

MetService also calls for snow observers each year and asks for photos and videos from the public to help verify the strength of tornadoes and to share the impacts that severe weather has on our nation.

Keep looking out your window and let MetService know what is happening in your own backyard.

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59 days ago
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Greenhouse Effect

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Once he had the answer, Arrhenius complained to his friends that he'd "wasted over a full year" doing tedious calculations by hand about "so trifling a matter" as hypothetical CO2 concentrations in far-off eras (quoted in Crawford, 1997).
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60 days ago
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84 days ago
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Solar maximum in sight – but when will it be?

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Throughout autumn and winter there have been a number of sightings of the Northern Lights, or the aurora borealis, in the UK. As 2024 continues, the question for many space weather experts is when we’ll see a peak in the Sun’s activity as part of this solar cycle.  

The auroras on Earth, which are most commonly seen over high polar latitudes but can often spread south to be visible over parts of the UK, are chiefly influenced by geomagnetic storms which originate from activity on the Sun.  

Space weather forecasters, like those who work at the Met Office Space Weather Operations Centre (MOSWOC), spend their time studying the Sun’s activity and forecasting the arrival of coronal mass ejections which cause geomagnetic storms, solar flares and solar radiation storms, collectively known as space weather. Space weather typically originates from sunspots on the Sun’s surface.  

Image: Richard Ellis, Royal Photographic Society

While these events contribute to the magnificent displays of colours in the sky as part of the auroras, the most severe of these events also have the potential to cause radio blackouts, disrupt GPS systems and interact with some ground-based infrastructure on Earth.  

Forecasting of specific events is incredibly complex, with satellites looking at features on the Sun including sunspot activity on the Sun’s surface from around 93million miles away. However, the Sun has a natural rhythm, called the solar cycle, which drives varying levels of activity, with the next peak due in 2024. This cycle works on around an 11-year cycle from one solar maximum to the next maximum.  

Met Office Space Weather Manager Simon Machin explained: “While the solar cycle doesn’t help determine specific space weather events, what it does is help our forecasters understand the context of their forecasts.  

“In its simplest terms, the solar cycle is linked to the number and intensity of sunspots that are visible on the surface of the Sun. This affects the likelihood of space weather events impacting the Earth.” 

When will the solar maximum be? 

The last solar minimum, when the Sun’s activity was at its lowest in the cycle, occurred in December 2019, with the Space Weather Predictions Center (SWPC) now predicting that the solar maximum will occur in 2024.  

However, as Simon explains, the passing of solar maximum doesn’t mean that further space weather events won’t occur.  

“One of the curious things about the solar maximum is that it’s not possible to declare it has occurred until after it has happened and when you observe that reduction in sunspot activity,” said Simon.  

“We know that the solar maximum increases the chances of space weather events impacting the Earth, but even as you move away from it as get through 2024 into 2025 and beyond, the Sun will continue to emit solar flares and geomagnetic storms. This means that further auroral displays are likely, as well as an ongoing chance of potentially impactful space weather events, even as we move towards the next solar minimum.”  

MOSWOC is one of a handful of 24/7 space weather prediction centres around the world, constantly looking for signs that the Sun’s activity could impact the Earth. By providing warning of these events reaching the Earth, mitigations can be taken by key industries to avoid some of the most severe impacts from extreme space weather events.

Find out more about the Met Office Space Weather Operations Centre or view the latest Met Office Space Weather forecast.



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85 days ago
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Modelling the weather

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Accurate weather forecasting requires three key ingredients – trustworthy observations, reliable computer models and experienced meteorologists.

Before the computer age and the satellite era, forecasters were reliant on weather observations from land stations, ships, and balloon soundings from which they could predict the movement of high and low-pressure systems and fronts.

Computer modelling has completely changed the forecasting game during the past three or four decades. Most of the MetService forecasts you read on the website or see elsewhere are the result of highly trained meteorologists studying a range of different models and deciding which ones, or which combination of them, are picking the most likely future weather outcomes.

These computer models have an endless appetite for crunching mind-blowing amounts of data.

One of the many equations used to help model the atmosphere

(Above: One of the many equations used to help model the atmosphere)

 

How do they do it?

Observations are taken from as many sources as possible, right across the planet. All these figures are fed into the models, which use complex mathematical equations reflecting the physics of the atmosphere to produce simulations of its possible future evolution.

Each model has its own personality, its own strengths, and weaknesses in covering our part of the world. This is where the experience of the forecasters and their geographical knowledge comes in, determining which weather situation from which model is the most likely to come true and how it will be influenced by local conditions and features such as Cook Strait and the Southern Alps.

At MetService, we use several of the most-respected global weather models to aid our forecasting.

Probably the most consistent is the European Centre for Medium-Range Weather Forecasts (ECMWF) model, generally recognised as the best-performing of the global models. As well, we consider runs of the UK Met Office model, which is very good when it comes to predicting the development and movement of mid-latitude weather systems.

The GFS model, generated by the National Centers for Environmental Prediction (NCEP) in the United States, is also consulted, although this is perhaps not as steady and reliable in this part of the Pacific as the ECMWF model. On top of that, we get modelling from meteorological services in Canada and Japan, and from the Bureau of Meteorology in Australia.

We also run our own in-house models to simulate the turmoil of the atmosphere and can operate these at much higher resolutions to reflect the idiosyncrasies of Aotearoa New Zealand’s landscape. We can run these with data points just 200 metres apart, which takes into account the different terrain of an area and whether it is forested or urban, which can make a significant difference to temperature and winds across a short distance.

Are they any good though?

The models themselves are constantly being tweaked by their operators to reflect the latest research findings and to keep up with new technology. The users of the models are also changing what they require from them.

In recent months there has been some discussion about whether climate change may be affecting the running of the models and especially their outcomes. Is it possible that an increasing number of more extreme events are pushing the models beyond their comfort zones into unknown territory?

The jury is still out on this. One thing that is for certain is that the basic physics of the atmosphere, on which the models are constructed, has not changed.

What has changed, though, is how often the conditions that lead to extreme weather are now occurring in our warming world. So, the models which are really good at picking bog-standard weather are being asked to deal with potentially severe weather situations more often.

What about Artificial Intelligence?

Like in any other industry, it is hard to predict just how machine-learning and artificial intelligence will affect weather forecasting.

AI-informed weather models have recently been found comparable to, or have even out-performed, physics-based models. But these AI-informed weather models aren’t coming in cold – they are first ‘trained’ on the physical models and then add a layer of prediction on top.

Then of course there remains the task of interpreting what the output of such a system might mean for the activities or safety of end-users.

At MetService we continue to work with the operators of modelling systems to ensure we get the best from them, while continuing to develop our in-house models. We have a keen eye on developments in the AI field and the opportunities it will bring. At the same time, we continually improve our forecasting expertise, which includes an understanding of the strengths and weaknesses of any modelling system.

By doing so, we will be in the best position to identify the risks future weather may bring, and how these are best communicated to those concerned.

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111 days ago
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The art of weather forecasting

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Some may think it’s one of those jobs which anyone might turn their hand to, but the difficulties of weather forecasting are hugely underrated.

After all, there aren’t many jobs where you’re expected to predict the future. Economists are also required to make forecasts, but at least they have some control over the system they are foretelling. When it comes to weather, meteorologists have no such influence.

The best weather forecasting is a mixture of science, geography, and experience.

The science of meteorology is extremely complex, involving difficult atmospheric physics and chemistry, and convoluted mathematical equations. As well as having a higher degree in physics or maths, a meteorologist must know a great deal about the geography of Aotearoa New Zealand and how the prevailing westerly winds at our latitude push over and around mountains and through narrow sea straits, influencing our weather.

There is no substitute for experience in forecasting and for having seen how a certain weather pattern has affected the country in the past. This base of knowledge and skills builds insight that comes naturally after years in the job and cannot easily be taught.

MetService Meteorologists working at the National Forecasting Centre in Wellington

(Above: Metservice meteorologists working at the National Forecasting Centre)

Simplifying the complicated

MetService forecasters work every hour of every day of the year to interpret the complexities of the atmosphere above Aotearoa New Zealand and communicate this clearly and simply to different audiences.

Our highly trained staff work tirelessly to ensure New Zealanders are kept safe and that communities can be as resilient as possible in the face of severe weather. People need to be able to trust the weather information they receive to enable them to make the best decisions they can.

One of the biggest tasks for meteorologists these days is analysing which of the suite of computer models they receive from around the world is producing the most likely weather map on which to base their forecasts.

Technology may be crucial to our operation but the forecasts themselves are still the result of a great deal of human effort and acumen. Our meteorologists interpret the models and all the observations made around the country, and apply their knowledge of a region’s topography, aspect and broader physical characteristics before settling on a forecast.

Knowing when to trust the models

There are curve-ball occasions when the models appear to go rogue, predicting tropical cyclones or icy southerlies with snow right across the motu / land. This is when meteorologists have to be at the top of their game – knowledgeable and confident enough to ignore such over-the-top predictions. After all, the models are just a guide from which forecasts are made.

The MetService forecasting team meets for about half an hour every morning online, just before 10am, to discuss the weather situation and which of the global models seem to be going down the right track. Another briefing is held about 10.30pm for the night-shift forecasters.

The weather briefings were known as “nodding”, a tradition which started more than 60 years ago. In those days, the chief forecaster’s views were unchallengeable, and everyone else would just “nod” in agreement.

These days, the meetings in the National Forecasting Centre in Wellington are called “map discussion” and are much more democratic. One of the senior meteorologists will choose which model is telling the most likely story or, if there is no clear guidance, will consider which mix of models appear to work. This is where observations, backed up by radar and satellite imagery, are vital.

Discussions follow and, from those, teams of meteorologists then write forecasts for different customers.

Tailoring our forecasts

The aviation team provides forecasts for airlines, general pilots and airports around New Zealand, and also acts as the Volcanic Ash Advisory Centre, should a volcano erupt.

Marine forecasters warn of high winds and bad weather in our inshore areas and across a huge area of oceans around the country.

Specialised severe weather meteorologists focus on heavy rain and snow, high winds, and thunderstorms which could cause damage and threaten life and livelihoods. During the tropical cyclone season (November to March), they also monitor the development of such storms. These forecasters work closely with emergency management and local and regional council staff when the worst weather is on the way.

Meteorologists working on the public and weather communications sections make the day-to-day predictions and generate the forecasts and weather graphics most of us see on the MetService website, or on the app on our phone, or on the television and elsewhere in the media.

To be a MetService meteorologist, you need a degree in either maths or physics and then to have completed a post-graduate meteorology programme which aligns with the World Meteorological Organisation’s Basic Instruction Package for Meteorologists. This ensures all meteorologists around the globe are adequately skilled.

In Aotearoa New Zealand, the meteorology programme is run in conjunction with Te Herenga Waka Victoria University as a Master of Meteorology degree.

Next time there’s rain threatening, a storm is on the way, the wind is picking up, or it’s just a lovely sunny day, you can have confidence that highly trained MetService meteorologists are providing the best possible forecasts to keep you safe and in the picture.

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127 days ago
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Why 1.5°C?

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Since the Paris Agreement at COP21 in December 2015, the 1.5°C target as a limit for global warming is much discussed, but why 1.5°C?

Where did the 1.5°C target come from?

The concept of identifying a threshold for climate change has existed for over 30 years. Article 2 of the 1992 United Nations Framework Convention on Climate Change (UNFCCC) states:

“The ultimate objective of this Convention and any related legal instruments that the Conference of the Parties may adopt is to achieve, in accordance with the relevant provisions of the Convention, stabilization of greenhouse gas concentrations in the atmosphere at a level that would prevent dangerous anthropogenic interference with the climate system.”

A key consideration is around the definition of the term ‘dangerous’ in this context of anthropogenic climate change. A vast array of scientific research has been conducted looking at a wide range of topics considering the environment (coral bleaching, ice sheet stability, food and water security, forests & vegetation) and also the point at which climate tipping points could occur. Through the 1990s and early 2000s several nations determined that a good target with respect to Article 2 commitments and considerations around climate vulnerabilities was 2 °C above pre-industrial levels, to prevent worsening and potentially irreversible effects of climate change. This 2 °C target was agreed as a goal at COP16 in Cancun.

Research commissioned by the Alliance of Small Island States (AOSIS), in addition to further research and understanding of the impacts of climate change on sea level rise (including committed sea level rise from warming that has already occurred), resulted in a growing concern around future sea level at a 2 °C target. These concerns for AOSIS and other climate vulnerable countries building on scientific evidence from the IPCC 5th Assessment Report (including other impacts such as temperature extremes) fed into an expert led process under UNFCCC assessing the evidence related to 2 °C and found the 2 °C “guardrail” concept to be inadequate.

On 12 December 2015, the 196 parties at the 21st Conference of the Parties (COP21 – the UNs climate summit) adopted the Paris Agreement, which stated a goal to hold “The increase in the global average temperature to well below 2 °C above pre-industrial levels” and pursue efforts “to limit the temperature increase to 1.5 °C above pre-industrial levels.”

As well as the goal of a 1.5 °C limit becoming a stated target, the agreement stated “well below 2 °C” a change in tone from previous limits “of 2 °C”. The period defined as representing the “pre-industrial levels” was 1850-1900. 

Does half a degree make any difference?

Figure 1 shows the differences in global mean warming over the whole year for a world that stabilises at either 1.5 °C, 2 °C or 4 °C. There are stark differences between the 2 °C and 4 °C worlds as you would well expect, but there are also noticeable differences between the 2 °C and 1.5 °C futures. In all three different warming level futures, the distribution of the amount of warming is varied across the world with a consistent pattern in all three futures. The greatest warming is projected over high latitudes, and on land compared to oceans in the mid-latitudes and tropics.

Three global maps showing global mean surface temperature change for warming of 1.5 °C, 2 °C and 4 °C above the 1850-1900 baseline period. Figure modified from Figure SPM.5A from the IPCC 6th Assessment Report WGI Summary for Policy Makers. The maps show a darker shade of red developing under higher global warming scenarios, especially at the poles.
Figure 1. Global mean surface temperature change for warming of 1.5 °C, 2 °C and 4 °C above the 1850-1900 baseline period. Figure modified from Figure SPM.5A from the IPCC 6th Assessment Report WGI Summary for Policy Makers.

Comparing the 1.5 °C and 2 °C worlds, the distribution of warming is consistent between the two different futures. However, the magnitude of some of these changes can also be quite large. There are some noticeable changes in the high Arctic particularly for the Russian and Canadian Arctic coastlines, with increases in warming of 2 to 4 °C for these regions. Elsewhere, there are increases of around 1 to 1.5 °C in the USA, Europe, parts of Australia and the Antarctic seas, while in South America, Saharan Africa, Southern Africa, the Middle East and central Asia increases could be around 2 °C.

From Paris to present

As a response to the Paris Agreement, the Intergovernmental Panel on Climate Change (IPCC) was commissioned to produce a Special Report on Global Warming of 1.5 °C. The report indicated that crossing the 1.5 °C threshold risks the occurrence of far more severe climate change impacts, including more frequent and severe droughts, heatwaves, and rainfall. The report noted higher impacts on biodiversity and the number of species extinctions (both on land and in the ocean) and a 10 cm higher rise in global mean sea level in the 2 °C compared to the 1.5 °C future world.

To assess the progress of countries towards the goals of the Paris Agreement, each year countries release their Nationally Determined Contributions, the promises each country makes outlining their pathway to Net Zero, with each five-year cycle of reporting seeing increasingly ambitious targets. You can review the 2023 report from the UNFCCC here.

Pathways to 1.5 °C

The Special Report also discussed the pathways to 1.5 °C future, and the associated risks of any overshoots in these pathways. Based on climate model projections produced for the report, the mean time by which the world needs greenhouse gas emissions to peak is before 2025 with a decline of 43% (relative to 2019) by 2030, with Net Zero reached by 2050.

A line graph showing a projection of the Keeling Curve showing the Mauna Loa Observatory record for atmospheric carbon dioxide from 1958 to 2021 (black line) and the projected pathway of this curve under SSP1-1.9 (red line), the SSP scenario that encompasses the 1.5 °C future. The graph shows an increasing CO2 concentration through the observed past, with continued increases in the projected future before the start of a downturn towards the middle of the century shown by the red line.
Figure 2 – A projection of the Keeling Curve showing the Mauna Loa Observatory record for atmospheric carbon dioxide from 1958 to 2021 (black line) and the projected pathway of this curve under SSP1-1.9 (red line), the SSP scenario that encompasses the 1.5 °C future.

A single year?

For the year to date, 2023 looks well on course to become the warmest year on record, and predictions for the next five years indicate a 66% chance of one of those years exceeding 1.5 °C. As such, it is useful to understand how an individual year greater than 1.5 °C sits within the concept of limiting warming to 1.5 °C. Essentially, the question being: “If we have a year warmer than this threshold, then has the target already been missed?”

The simple answer is no. We have seen individual months above 1.5 °C and in November 2023 some days above 2 °C, these events, even an individual year above 1.5 °C would not constitute a breach of the Paris Agreement goal.  However, as recently highlighted in a paper by Met Office scientists led by Richard Betts highlighted that the concept of a 1.5 °C world not formally defined in the Paris Agreement, and outlined different approaches that could be used to define a formal metric in the future. 

A standard approach* within climate science would be to define it based on a climatological mean of 1.5 °C, which would be defined over a period of 20 years.  Using this approach and using the HadCRUT dataset, the most recent 20-year period (2003-2022) has a 20-year global mean temperature anomaly of 1.03 °C warmer than the pre-industrial period of 1850-1900.  Within this period, individual year temperatures have ranged from 0.81 °C (2004 & 2008) to 1.27 °C (2016) warmer than the pre-industrial period.

The variability around the mean temperature is representative of the role of natural variability within the Earth’s climate (for example, the warming effect of El Niño vs the cooling effect of La Niña).  A 1.5 °C future world will also experience these variations and therefore there will be years when the climate is warmer and years when the world is cooler than 1.5 °C.

But, this same variability also means that in our present-day climate an individual year of 1.5 °C (or warmer) does not mean that we have reached the threshold of a 1.5 °C climate future. However, it is worth considering that whilst exceeding 1.5°C for a month or a year doesn’t represent a failure to achieve the longer-term Paris Agreement target, it does indicate that we are getting closer, and urgent action is needed to mitigate future warming and to adapt to increasing climate risks.

[1] – The recent paper by Betts et al. highlighted the risk of this approach that it results in a delay to the recognition of a threshold being crossed, in the case of a 20-year mean, this is around 10 years delay. They highlighted that current IPCC research indicates that the 1.5 °C future will be reached in 2030, but the 20-year mean approach won’t allow this to be formally recognised until 2040.



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