The Density Of Air At Stp Is 1 285

The estimated error of this routine when compared to the data of Doherty and Kester is 3 mK at atmospheric pressure. Its high pressure part is derived by thermodynamic rules (Clausius–Clapeyron equation) and deviates by about the same amount from the data of Fujino et al. down to a pressure of 500 dbar. Both FH95 and F03 have fitted these same data at one atmosphere, as well as additional more recently available data and standards of freshwater and ice for higher pressures, in F03's case with an rms error of 1.5 mK. Simplified polynomial expressions for the freezing point based on FH95 were published by Feistel and Hagen . The freezing points given in F03 are computed using a slightly modified version of the former Feistel and Hagen Gibbs potential of ice, which is to be replaced now by the new and more accurate one of FW05.

Here we fit the freezing temperatures of the most recent ice Gibbs function of FW05 to within the same error tolerances as the F03 fit to data, using 11-term rational functions . Three fits are made, one for each of the temperature variables—in situ temperature T, potential temperature θ, and conservative temperature Θ. Algorithms are presented for density, potential temperature, conservative temperature, and the freezing temperature of seawater. The algorithms for potential temperature and density are updates to routines recently published by McDougall et al., while the algorithms involving conservative temperature and the freezing temperatures of seawater are new.

The McDougall et al. algorithms were based on the thermodynamic potential of Feistel and Hagen; the algorithms in this study are all based on the "new extended Gibbs thermodynamic potential of seawater" of Feistel. An inverse function relating potential temperature to conservative temperature is also provided. And this question were asked which of these guys is going to have the greatest density at standard temperature and pressure for the first thing we're gonna do is we're going to start off with the ideal gas law. No, first glance, this looks like it has nothing to do with density.

However, we could substitute en with the mass of the sample over the molar mass of the entire compound. Now watch what happens if we move volume to the right side. We get this M over v constituent, which we know mass over volume simplifies to density. Times are t over em we're trying to solve for what short has the greatest density. So now, because we know where it's standard temperature and pressure, these will not change. So our density is solely dependent on the molar mass of the guests with the highest muller mass having the highest density.

The Density Of Air At Stp Is 1 285 G L So let's go ahead and figure out the molar masses of each of these compounds. Nitrogen has a modernizer, 14 grands from all and oxygen. The molar mass. 16 grams from giving this confident. If we take a look at the periodic table, has a molar mass of 83.7 grams for more, C is going to have a molar mass of 80 grams from home and seal to is going to have a molar mass of 70.9 grams promote. Another uncertainty remaining in the equation of state and in the determination of salinity from oceanic observations is due to spatial variations in the relative concentrations of alkalinity, total carbon dioxide, and silica. One could imagine mounting a concerted campaign to reduce these errors by, for example, obtaining more accurate measurements of the temperature of maximum density so as to improve the accuracy of the thermal expansion coefficient.

However, this activity would only be worthwhile if one could simultaneously address the issues raised by Millero to account for the variation of the composition of seawater. On the basis of this comparison of rms errors one concludes that our 25-term equation of state and F03 yield equally accurate estimates of ρ and α. The maximum absolute error in the haline contraction coefficient β in Fig. 2c is approximately 2 × 10−6 −1, which corresponds to a relative error of 0.25% of the mean value of β and is thus less important than the corresponding errors in α.

The rms errors of the sound speed fit of F03 are at most 3.5 cm s−1 when fitting data that has rms errors of 5 cm s−1. This is to be compared with typical rms errors of 26 cm s−1 in our equation (Fig. 2d) for both the funnel of data in Fig. We chose to accurately represent the thermal expansion coefficient with our choice of penalty function and with our choice of terms, and this has been at the expense of the accuracy of sound speed. 2d are still less than the extreme errors of several meters per second that exist between the different sound speed formulas that appear in F03. The comparison of 73 terms for the F03 equation of state to 25 terms for the rational function equation of state also clearly indicates the improved efficiency in using the latter parameterization for ocean density. Following MJWF03, we have concentrated on the relative errors in the thermal expansion coefficient and in the saline contraction coefficient, as these are the only errors in the equation of state that have dynamical consequences in ocean models.

Coefficients of the new ρ(S, θ, p) equation of state are given in section a of appendix A. To test the accuracy of the new equation, uniformly distributed points were taken from a "funnel" of data, very similar to but slightly larger than the funnel used in the corresponding fit in MJWF03. At the sea surface the minimum in situ temperature is taken to be 2°C below the in situ temperature at which seawater freezes at a pressure of 500 dbar, and the maximum temperature is 40°C, while salinity varies from 0 to 42. The minimum temperature limit and the maximum salinity limit are independent of pressure.

The maximum temperature limit and the lower salinity limit are varied as linear functions of pressure so that the upper temperature bound is 15°C, while the minimum salinity is 30 psu at 5500 dbar. Below this pressure, temperature and salinity extremes are held constant all the way down to 8500 dbar. A three-dimensional view of this latter funnel is shown in Fig. 1a while cross sections of the funnel are plotted as solid lines in Figs.

1b and 1c are the extremes of the Koltermann et al. climatology to indicate how real ocean data fits inside the narrower error funnel. Complete details of the theoretical justification for and the properties of this conservative temperature variable can be found in McDougall . To run ocean models with this temperature variable, an equation of state is needed that is a function of conservative temperature, salinity, and pressure, and we here present such an equation.

Also, an algorithm is presented for the calculation of potential temperature in terms of salinity and conservative temperature so that, for example, sea surface temperature can be calculated from an ocean model's internal conservative temperature. McDougall et al. have recently fitted a 25-term rational function to seawater density, when considered a function of salinity S, potential temperature θ, and pressure p. The 25-term equation was also motivated by publication of the Feistel and Hagen equation of state, which was based on a Gibbs thermodynamic potential. This equation turned out to be more accurate than, and addressed several weaknesses in, the well-established International Equation of State of Seawater . MJWF03 also presented a new algorithm for the computation of potential temperature that was thermodynamically consistent with the FH95 ocean density routine.

The routine for calculating the potential temperature of seawater is identical to the corresponding algorithm in MJWF04, and the updated coefficients can be found in section a of appendix A. We test the accuracy of the new values of θ by examining the root-mean-square and maximum absolute errors when 106 random fluid parcels (S-T-p), drawn from the cube × [−2°C, 40°C] × , are referenced to another 106 random pressures in the range . The potential temperatures against which we compare the estimates of θ are those obtained by iterating the standard Newton–Raphson technique from the in situ temperatures to their fixed points .

The accuracy of the recommended two iterations of the algorithm of the first subsection of appendix A is 2.84 × 10−14 °C and 3.50 × 10−15 °C , respectively, effectively being machine precision. In terms of efficiency, the algorithm presented here for the computation of θ is 3.5 times faster than the computation of θ by iteration from T to the potential temperature fixed point. Liquid ammonia is the best-known and most widely studied nonaqueous ionising solvent. Its most conspicuous property is its ability to dissolve alkali metals to form highly coloured, electrically conductive solutions containing solvated electrons. Apart from these remarkable solutions, much of the chemistry in liquid ammonia can be classified by analogy with related reactions in aqueous solutions.

The ionic self-dissociation constant of liquid NH3 at −50 °C is about 10−33. Earth's atmosphere is not like the air inside a sealed wine bottle. Gas molecules want to move, and they will expand to fill the volume within which they are contained. Confined to a tightly sealed container such as a corked wine bottle at constant temperature of about degrees F, gasses have no room or enough "excitement" to expand and move around. They settle into layers based mostly on their molecular weights.

However, the Earth's atmosphere is much more expansive than a wine bottle. CO2 does not break down until about 80 kilometers from the Earth's surface, giving atmospheric gases a huge expanse to occupy. Excited by the heat radiating from the Sun into the atmosphere, molecules move rapidly. As they bang into each other , the gas molecules intermingle, rather than settling in stratified layers. It is mainly diffusion that allows CO2 to integrate at altitudes higher than what its molecular weight alone would suggest, although other processes, like strong updraft and downdraft air currents, are also involved. And is a proportionality constant that relates the values of pressure, volume, amount, and temperature of a gas sample.

The variables in this equation do not have the subscripts i and f to indicate an initial condition and a final condition. The ideal gas law relates the four independent properties of a gas under any conditions. Where the second-order partial derivatives are evaluated at (S, θ) . Of McDougall , the term proportional to θ′S′ is larger than the other two so that Θ − Θ(S, θ) ≈ ΘSθθ′S′ ≈ − 1.4 × 10−3 θ′S′ with S′ measured on the practical salinity scale.

With perfectly correlated perturbations of magnitude 3°C and 1 psu, the estimated difference Θ − Θ(S, θ) ≈ 4 mK, which is likely small enough to be ignored. These small nonlinear differences in temperature arise because potential temperature is not a conservative variable, so θ should not have been averaged during the process of forming the atlas. The thermodynamic variable that is conserved on mixing at a certain pressure is enthalpy and, when mixing occurs at depth in the ocean, not even Θ is 100% conserved.

Of McDougall shows that when mixing occurs at a pressure of 600 dbar between water masses that differ in temperature by 2°C, the resulting value of Θ is different from Θ by about 10−5 °C. We conclude that the error involved in averaging θ to form a local averaged value is likely to be no more than a few millikelvin, while the error involved with averaging Θ is estimated to be no more than 10−5 °C. The density of a gas increases as temperatures get colder.

So, because temperatures decrease as we reach higher altitudes, gases become denser at higher altitudes. Denser objects tend to sink, pulled down by gravity. (In fact, the force of gravity pulling gas molecules towards the Earth's surface is what maintains our atmosphere.) Different gases also have different molecular weights. CO2 is heavier than oxygen, so we might expect every CO2 molecule to sink below a layer of oxygen molecules. Generalizing this idea to the other gases in the air, we might deduce that this would result in a perfectly stratified atmosphere with separate layers of each type of gas. The rms error in α of 3.5 × 10−7 °C−1, shown in Fig.

5b, is only 48% of the rms error in the α derived from the Gibbs function fit of F03 to the underlying data. We conclude that our 25-term equations of state are as accurate as the data from which F03 was derived and that there is a marginal increase in accuracy with the update from FH95 to F03. Figure 5b shows that the maximum error in the thermal expansion coefficient is less than 9.9 × 10−7 °C−1, while the rms value is, apart from the surface mixed layer, less than 3.5 × 10−7 °C−1.

As explained in MJWF03, the key accuracy measure for physical oceanography is this maximum error in the thermal expansion coefficient, which here is equivalent to a relative error in the thermal expansion coefficient of less than 0.7%. The maximum error in the saline contraction coefficient of 1.6 × 10−6, which corresponds to a relative error of 0.2% of the mean value of β, is thus much less important than the corresponding error in α. As in section 2b, we have not paid much attention to the error in sound speed but we note that the errors in our Fig. 5d are again significantly less than the extreme differences of several meters per second reported in F03 between the various sound speed formulas. 5a–d the average values of the rms errors and the maximum absolute errors for the real ocean climatological data of Koltermann et al. are consistently less than the corresponding quantities for the larger ocean funnel data.

Note, however, that there are substantial pressure intervals over which the rms errors for the ocean climatological data exceed the rms errors for the funnel data of Fig. Residuals between the air saturated freezing temperatures of seawater from Eqs. And for in situ temperature, potential temperature, and conservative temperature and saturated freezing temperatures based on the solution of –. Note the differences in vertical scales between this figure and the residuals in Figs.

View in gallery Residuals between the air saturated freezing temperatures of seawater from Eqs. Finally, we provide simple linear expressions for upper bounds of the three saturated freezing temperatures of . Ocean models need to know whether the temperature variable that they are carrying is in the vicinity of the corresponding freezing temperature of seawater. Rather than testing temperature against the appropriate temperature formula from , a linear bound will enable an efficient test for determining the state of most of the ocean's volume.

Table C2 contains coefficients for these saturated freezing point upper bounds. The coefficients contained in the table have been rounded to two decimal places, in the appropriate direction, so that seawater with a temperature larger than the bound will definitely be in the liquid state. Failing this linear test will then require use of the more complicated formulas in and to determine the state of a seawater parcel. One of the aims of the present work is to update the algorithms of McDougall et al. for the computation of potential temperature and density of seawater. We have also determined a function for computing the freezing temperature of seawater that is consistent with the latest Gibbs potentials of seawater and ice .

When compared with the corresponding figure of MJWF03 (their Fig. 3), funnel errors in all the variables here are 20%–160% larger than the corresponding errors in MJWF03. These errors could be lowered by the inclusion of more terms in the rational function or by exchanging terms in the 25-term rational function with terms involving other powers of S, θ, and p. The latter possibility was examined and resulted in only minor improvements. 2 are already of the same order as errors in the power series fit of the Gibbs function in F03 to the underlying data, so we decided that a change in functional form was not warranted. For example, Table 9 of F03 indicates that rms errors as large as 10−2 kg m−3 in density and 7.3 × 10−7 K−1 in the thermal expansion coefficient are present in the F03 fit. The rms errors in the data underlying the F03 fits are 3 × 10−2 kg m−3 for density and 6.0 × 10−7 K−1 for the thermal expansion coefficient.

2 are 2.4 × 10−3 kg m−3 and 6.5 × 10−3 kg m−3 , and those in the thermal expansion coefficient are 2.8 × 10−7 K−1 and 9.8 × 10−7 K−1 , respectively. In terms of real ocean climatology the corresponding errors are 1.9 × 10−3 kg m−3 and 4.9 × 10−3 kg m−3 , and 2.9 × 10−7 K−1 and 6.5 × 10−7 K−1 , respectively. All density and thermal expansion coefficient rms errors of the ρ(S, θ, p) fit are thus within the uncertainty of both available ocean data and the F03 Gibbs potential fit to this ocean data. 2b of 2.8 × 10−7 K−1 is only 38% of the rms error in the α fit of F03 to the underlying data. We therefore have no hesitation using the same rational function here as was used in MJWF03.

Also, as discussed in MJWF03, an uncertainty in the thermal expansion coefficient of 6 × 10−7 °C−1 leads to a maximum uncertainty in θ − T of 2 mK for a pressure difference of 5000 dbar. We conclude that in the oceanographic range of variables, each of the three algorithms for θ (i.e., Fofonoff and Millard 1983, MJWF03, and the present paper) differ from each other by approximately the same amount. Nevertheless, the present approach is preferable for the calculation of θ since it uses the most accurate Gibbs function that is available to date and so is likely to be the most accurate of the three methods.

Given these improvements in the Gibbs thermodynamic potential together with its increased computational cost, a refit of the functions underlying the algorithms of MJWF03 seemed in order. Again, we have chosen rational functions as our fundamental fitting functions, owing to the rich and stable nature such functional representations provide. We show that these errors are approximately one-half of those arising from the spatial variability in the composition of seawater . The rms and the maximum absolute errors in density ρ(S, θ, p) as a function of pressure for data in the (S–T–p) funnel of Fig.

– These error measures for the thermal expansion coefficient, the haline contraction coefficient, and sound speed, respectively. These figures are for the differences between our 25-term equation of state and the full F03 form of the equation of state. Dashed lines are for the climatological data of Koltermann et al. . View in gallery The rms and the maximum absolute errors in density ρ(S, θ, p) as a function of pressure for data in the (S–T–p) funnel of Fig.

This reaction is both exothermic and results in decreased entropy, meaning that the reaction is favoured at lower temperatures and higher pressures. This makes it difficult and expensive to achieve, as lower temperatures result in slower reaction kinetics and high pressure requires high-strength pressure vessels that aren't weakened by hydrogen embrittlement. In addition, diatomic nitrogen is bound together by an exceptionally strong triple bond, which makes it rather inert. Both the yield and efficiency of the Haber–Bosch process are low, meaning that ammonia produced must be continuously separated and extracted for the reaction to proceed at an appreciable pace. The explanation provided by Mr. Munez is completely wrong. Gases do not stratify, not even when confined in closed spaces.

How To Find Apple Music Replay Top Artists

To find your Apple Music Replay 2021 year-in-review, open music.apple.com/replay and sign in with your Apple Music account. You can also see your Replay playlists under the Listen Now tab in Apple Music. Interestingly, Apple Music collates your music listening habits throughout the year, updated on a weekly basis. It can show you your total listening time for the year, a playlist of your top 100 songs from the year, your top artists, and your top albums. The Replay website also has an option to revisit your Replay playlists from previous years going back to 2015 when it launched, or the year you started using Apple Music.

If you use otherstreaming services, though, you can still share your music listening history for the year. That includes top songs, artists and albums in a series of colorful visuals specifically designed for social media. Apple Music Replay lets Apple Music users to see a review of.

Apple Music Replay 2021 reveals your top songs artists albums and more. Every music source has their idea of top artists, albums, and songs for the year but apple music is an excellent indicator of the music that best. First of all, apple music replay tells you exactly how many hours of music you've listened to this year. It also reveals how many different artists you've listened and who your most popular artists are. Similar to Spotify Wrapped Apple Music has a feature called 2021 Replay that lets you see your most-played songs artists and albums and get a playlist of your top songs of the year.

Replay Apple Music Top Artists Apple Music is a music and video streaming service developed by Apple Inc. Other popular streaming apps such as Apple Music and YouTube Music also have a similar feature that allows you to view your music listening history for the year. Users can view their top songs, artists, and albums and can even share the same on social media platforms.

Apple Music users can access their data, via the "Replay" feature, in a few ways. To simply access the playlist of your 100 most played songs, go to the "Listen Now" tab in the Apple Music app and scroll to the bottom of the page. Once there, you'll see your Replay for 2020 and every year you've had Apple Music. While it's interesting to look back, it's probably not going to impress your friends that you listened to Modern Baseball more than any artist in 2016. (I'm telling on myself, aren't I?) You can also add the playlists to your own music library for easier access. Apple Music users may feel left out seeing all of the Spotify Wrapped stats being shared around social media but Apple has a similar service called Replay Heres how to.

Its a hot feature that gets posted all over social media at the end of each year but Apple Music. Users of Apple Music may feel left out when Spotify Wrapped metrics are posted on social media but Apple has a comparable tool called Replay Heres how you get your hands on one. Apple Music and Spotify are two of the biggest streaming services in the world. Spotify launched Wrapped in 2017 and since then users have waited eagerly to find out what their end of year music stats are. To see your stats, visit music.apple.com/replay in a compatible browser. Once you sign in, you can see how many hours of music you've listened to, and which artists and albums you've enjoyed the most.

Apple Music Replay shows users their total listening time for the year alongside a playlist of your top 100 songs of the year your top artists. The Apple Music 2021 Replay displays all the songs in the form of a playlist. Apple Music Replay uses your Apple Music listening history to calculate your top songs albums and artists throughout the year. Apple Music launched their own version of Spotify Wrapped called Apple Music Replay which reveals your Top Songs Top Artists and Top Albums of the year and more. Apple Music users dont have to miss out on the Spotify Wrapped fun.

Apple Music Replay is similar to Spotify Wrapped in that it also gives you a review of your top songs and artists on Apple Music. Apple Music Replay is a new feature which allows Apple Music users to get access to all of their most played stats. To use it all you have to do is visit the Apple Music Replay website, sign in to your Apple account and click "Get Your Replay Mix". It then immediately generates a selection of playlists based on your personal stats and tells you some key information you probably never knew about your listening habits. At first Apple, Music Replay has a very limited scope in comparison with Spotify Wrapped. In fact, from the Apple Music Application, you cannot get direct access to the Apple Music Replay.

If you want to view your playlist in Replay, you can go to the Apple Music 'Listen Now' tab but you also have to visit the Apple Music website for getting their full details. One can get his or her total listening time of the year from the Apple Music Replay. You can also view your top 100 songs of the year, top albums, and top artists from here. From the Apple Music Replay, you can add the playlist to the Apple Music Library and up to the years of dating back to 2015 also. Spotify changed the game in 2017 when they launched Spotify Wrapped. The viral feature gives Spotify users detailed stats about their annual listening habits.

Never ones to let the competition outdo them, Apple Music started their own version of Spotify Wrapped in 2019. Apple Music Replay reveals your most played songs, artists and albums of the year and more. In fact, Apple Replay was launched ahead of time, which meant you could listen to Replay at any point during the year if you listened to enough music.

Even though the feature was created to mark the end of the year, it's updated weekly — so you can use Replay at any point to listen to your favorite songs. Apple Music also made it possible for users to save their Replay playlists (just click on the +Add button) as well as share with other Apple Music members. The desktop version shows how many hours youve spent listening to music how many artists youve listened to your top albums and more detailed streaming information on your top songs.

Even though the feature was created to mark the end of the year, it's updated weekly so you can use Replay at any point to listen to your favorite songs. Apple Music also made it possible for users to save their Replay playlists as well as share with other Apple Music members. While Apple Music's Replay won't give your harmonic habits an aura reading like Spotify Wrapped will, you can take a stroll down memory lane with the playlist. You'll see the songs you listened to most over the course of 2021, in order of how much you listened to them. (Will Olivia Rodrigo's "deja vu" be among them? Only time will tell.) You'll also see how many hours of music total you played last year and how many different artists you listened to.

At the bottom of the page, you'll find your Replay mixes going back to 2015, when Apple Music launched. Head to music.apple.com/replay and you will be given the option to "get your replay mix". From there you can find out who your most streamed artists were this year, the total amount of time you spent listening and your favourite albums. You will also be presented with a playlist of your top 100 songs of the year.

Once opened, you can view your listening history under Your 2021 Wrapped. If you don't see any artists or songs featured in your 2021 personalized Wrapped, you've probably not listened to enough of them before now. That section includes an overview of the time you spent listening to specific genres or artists in 2021, among others. At the end of each year, streaming music service Spotify provides a "Spotify Wrapped" recap of each user's listening habits and favorite songs. Spotify Wrapped is a highly anticipated year-end feature that Spotify users love, and Apple Music listeners may be wondering how to get their own "Wrapped" rundown. One such option for iPhone owners isSnd.Wave, which is free to download but locks some advanced features behind an in-app purchase.

Apple Music Replay shows users their total listening time for the year along with a playlist of your 100 best songs of the year, your top artists, and your best albums. You can also add your Replay 2021 playlist to your Apple Music library, as well as playlists for previous years dating back to 2015. You can access the feature on the Apple Music Web Player, once you arrive simply select 'Get your Replay Mix' and it will generate a playlist featuring your most played songs of 2019. Not only that, you'll also get to see a breakdown of your favorite artists and how often you listen to them. There's also a breakdown of your top 10 favorite albums and how often you listen to those as well.

Finally, Apple will generate songs for your most played songs for previous years as well, in case you want to take a trip down memory lane. Apple Music Replay will show users their total listening time for a year, as well as a playlist of the top 100 songs, top artists, and top albums of the year. You can also add Replay 2021 playlists and playlists dating back to the previous years of 2015 to your Apple Music library.

Tidal's version of Spotify Wrapped is called My 2021 Rewind. It highlights your mos- listened-to songs and artists of the year and of each month through a playlist and shareable graphic for social media. Last year the 2020 Rewind feature appeared on Dec. 1, so you should expect to see 2021 Rewind very soon.

Once it does arrive, open the Tidal app or go to the homepage on desktop and you should see My 2021 Rewind. Shazam is an Apple-owned popular service that can identify the names and lyrics of songs, music videos, TV shows, and more, simply by listening to and deciphering whatever is playing. After you've identified songs in the Shazam app by pressing the big Shazam button, you can use streaming services like Spotify and Apple Music to listen to them. Apple Music Replay shows users their total listening time for the year, along with a playlist of your top 100 songs of the year, top artists, and top albums. You can also add your Replay 2021 playlist to your Apple Music library, as well as playlists from previous years dating back to 2015. Apple Music Replay shows users their total listening time for the year, alongside a playlist of your top 100 songs of the year, your top artists, and your top albums.

You can also add your Replay 2021 playlist to your Apple Music library, as well as playlists for prior years dating back to 2015 as well. To find your Apple Music Replay 2021 year-in-review, head to the music.apple.com/replay in your browser of choice. Once you sign in with your Apple Music account, you'll be presented with all of the details on your Apple Music listening habits throughout the year. Scroll down in the Apple Music web app to see more details such as how many artists you've listened to so far this year, as well as the hours you've spent listening to them. You can also see the top 10 albums you've listened to so far, with handy play counts for each album.

To find your Apple Music Replay 2021 year in the review, go to music.apple.com/replay in your chosen browser. When you sign in with your Apple Music account, you will be presented with all the details of your Apple Music listening habits throughout the year. Similar to Spotify Wrapped, Apple Music has a feature called 2020 Replay that lets you see your most-played songs, artists and albums, and get a playlist of your top songs of the year.

Apple uses your Apple Music listening history to provide you with the songs, albums, and artists you listen to the most every year. Each year your Apple Music stats are compiled into a single playlist called a Replay. Music is a loving entity by most of the people all over the world, so Apple has come up with his new music-streaming platform Apple Music Replay to compete with the Spotify Wrapped. One of the most important differences between the Spotify Wrapped and Apple Music Replay is that the Apple Music Replay is updated and available throughout the year.

Hence, it means that you can keep track of your Apple Music listening habits throughout one year. However, the end of the year is the most common time, in which the people choose to access the data of the Apple Music Replay. To find the Apple Music Replay 2021 year in review, please visit music.apple.com/replay in the browser of your choice. After you log in with your Apple Music account, you will see all the details about Apple Music's listening habits throughout the year. Now that Spotify Wrapped 2021 has been officially launched, Apple Music users may feel a little left out.

Fortunately, Apple Music Replay is a competitor to Apple's Spotify Wrapped, which allows Apple Music users to view reviews of the songs, albums and artists they listen to most often. On the Replay website, you can see details like the number of hours you've listened to music during the year and your top albums and artists. If you want to share these statistics on social media, you'll need to take screenshots.

To find your Apple Music Replay 2020 year-in-review, you just need to go to replay.music.apple.com in the Safari browser on your device. After going to the website there will be options to sign-in along with all the details on your Apple Music listening habits throughout the year. One cool feature of the Replay 2021 list is that it also shows you how many hours of music you've listened to during the year. Additionally, the Replay 2021 list lists songs in descending order from most-played to least-played, and next to each song you'll find the exact number of times you played the song. The website will show you exactly how many hours of music you've listened to this year and a playlist of your top 100 most played songs with exact play counts. It also reveals how many different artists you've listened to in 2021 to date and who your most popular artists are.

If that weren't enough, it also tells you your top 10 most played albums of the year too. Once it has loaded up, you will be able to scroll through and see the top tracks, artists and albums you have played, as well as how many hours you have spent listening over the last year. Apple Music recently brought out a Replay feature that automatically generates playlists containing your most-played songs for any year, going back to 2015 when the service debuted. Follow along with us as we show you how to use Apple Music Replay to get a playlist with your top songs of the year and gain insights into your top artists and albums. One of the most notable differences between Apple Music Replay and Spotify Wrapped is that Apple Music Replay is actually available and updated year-round. This means you can track your Apple Music listening habits throughout the year.

But the end of the year is obviously the most common time when people choose to access their Apple Music Replay data. Apple also announced the beginning of free lossless audio for all Apple Music to be rolled out starting in June 2021 allowing users to pick their preferred audio quality all. Nevertheless both the features are similar and let users review their most-played music tracks albums and artists. Every year Spotify Wrapped breaks the internet as it lets Spotify users know detailed stats about their listening habitsEvery year Apple Music users feel left out. Heres how to find your Apple Music Replay playlist from 2021.

Instead its Apple Music Replay feature is available all-year and usually refreshes around February with new statistics about your most. Unlike Spotifys Wrapped that is available at the end of a year Apple Music 2021 Replay can be accessed at any point during the year. Much like Spotify Wrapped, Apple Music Replay shows you your top songs, artists and albums of the year as well as your total listening time. Go into the music settings, if sync library is enabled disable it. Exit settings open the music app - then foreable close it (sometimes this hasn't been enough and I've had to hard reset my phone) - then go back to settings and re enable library sync.

This issue causes my play counts not to increment on my mac from my phone for instant but also causes apple to not see I've played a song or an artist in the replay library. Apple Music comes with a feature called 2021 Replay that will allow users to view your most-played songs, artists, and albums, and get a playlist of your top songs of the year. Along with the playlists, Apple Music Replay will show your top artists and albums of the year, in addition to other stats like how many artists you listened to in total. Then if you like, you can share your Apple Music Replay playlist just like any other playlist in your library. Apple Music is introducing a fun new way to take a look at your listening history from over the past year. If you want to share your Apple Music Replay statistics to social media, be warned that the process isn't as simple as sharing your Spotify Wrapped.

To share playlists from the Apple Music app to Instagram or Snapchat, tap on the three dots in the upper right-hand side corner, choose Share and then tap on your preferred app. If you scroll down below the playlist, you'll see stats about the number of different artists you've listened to that hear, and other stats like your Top 10 albums and their play counts. One of the most significant differences between Apple Music Replay and Spotify Wrapped is that Apple Music Replay is actually available and updated throughout the year. But of course, the end of the year is the most common time when people choose to access their Apple Music Replay data.

It should be noted that if you open the Replay link on your iPhone, you'll be redirected to your 2021 Replay playlist in the Music app, which features your 100 most-streamed songs. If you want to view more information, like how long you listened to music for the entire year, you'll have to visit the 2021 Replay website on your desktop. To find your 2021 Apple Music Replay Annual Review, go to music.apple.com/replay in your browser of choice. Once signed in with your Apple Music account, you will be presented with all the details of your Apple Music listening habits throughout the year. One of the most notable differences between Apple Music Replay and Spotify Wrapped is that Apple Music Replay is actually available and updated year round. This means that you can track your Apple Music listening habits throughout the year.